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Enhancing Transferability of Black-box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models

Zhao Ren, Jing Han, Nicholas Cummins, Björn W. Schuller
<span title="2020-10-29">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Lifelong learning will be further applied to improve the transferability of universal black-box adversarial attacks.  ...  Black-box Adversarial Attacks During training a black-box attack model in this study, the parameters of the target model are unknown for the attacker.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4251529">doi:10.5281/zenodo.4251529</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2y7jzops7vf67g3gaotdxxgsx4">fatcat:2y7jzops7vf67g3gaotdxxgsx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107103512/https://zenodo.org/record/4251530/files/1869.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bb/0e/bb0e4734606aa36b37d43a1a54cb714777ebed81.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4251529"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition [article]

Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella
<span title="2022-03-09">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Due to the development of machine learning and speech processing, speech emotion recognition has been a popular research topic in recent years.  ...  The proposed framework consists of i) federated learning for data privacy, and ii) adversarial training at the training stage and randomisation at the testing stage for model robustness.  ...  , and "LeibnizKILabor", granted by the German Federal Ministry of Education and Research (BMBF) via funding code No. 01DD20003.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.04696v1">arXiv:2203.04696v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kq4z44blo5dnzoow2qcq6am65m">fatcat:kq4z44blo5dnzoow2qcq6am65m</a> </span>
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Deep Neural Mobile Networking [article]

Chaoyun Zhang
<span title="2020-10-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This makes monitoring and managing the multitude of network elements intractable with existing tools and impractical for traditional machine learning algorithms that rely on hand-crafted feature engineering  ...  The performance of artificial intelligence (AI) has achieved in other domains draws unprecedented interest from both academia and industry in employing deep learning approaches to address technical challenges  ...  Threat Model Typical attacks against machine learning models can be categorized into three classes, namely (i) white-box attacks, (ii) grey-box attacks, and (iii) black-box attacks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.05267v1">arXiv:2011.05267v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yz2zp5hplzfy7h5kptmho7mbhe">fatcat:yz2zp5hplzfy7h5kptmho7mbhe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201112024651/https://arxiv.org/pdf/2011.05267v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/20/de20e985cab67d4b395e12f4734dc7463e818b37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.05267v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
<span title="2022-04-20">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  In this paper, we cover not only the BM technologies themselves but also the prerequisites for BM training and applications with BMs, dividing the BM review into four parts: Resource, Models, Key Technologies  ...  Transfer-based black-box attacks. Transfer-based attacks craft adversarial examples against a substitute model, which are probable to fool black-box models based on the transferability.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.14101v4">arXiv:2203.14101v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rdikzudoezak5b36cf6hhne5u4">fatcat:rdikzudoezak5b36cf6hhne5u4</a> </span>
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Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey [article]

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang (+2 others)
<span title="2020-05-29">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly feed data collected by  ...  Hence, orchestrating ML pipelines that encompasses model training and implication involved in holistic development lifecycle of an IoT application often leads to complex system integration.  ...  There are two approaches for generating adversarial samples, white-box or black-box.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.05433v5">arXiv:1910.05433v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ffvjipmylve6feuzdbav2syxfu">fatcat:ffvjipmylve6feuzdbav2syxfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200603231611/https://arxiv.org/pdf/1910.05433v5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.05433v5" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang (+2 others)
<span title="2020-05-07">2020</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eiea26iqqjcatatlgxdpzt637y" style="color: black;">ACM Computing Surveys</a> </i> &nbsp;
of the physical world to the Internet via Internet of Things (IoT).  ...  To begin with modeling, it is essential for users to choose a suitable learning concept at the first stage.  ...  There are two approaches for generating adversarial samples, white-box or black-box.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3398020">doi:10.1145/3398020</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zzgfcjxjxbhnhf53dmlo63rs3i">fatcat:zzgfcjxjxbhnhf53dmlo63rs3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427070712/https://eprints.whiterose.ac.uk/166897/8/37-csur2020.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cb/1f/cb1fea4595e90662d94d46d511d118efe3d2a566.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3398020"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
<span title="2019-01-30">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Drawing from our experience, we discuss how to tailor deep learning to mobile environments. We complete this survey by pinpointing current challenges and open future directions for research.  ...  The recent success of deep learning underpins new and powerful tools that tackle problems in this space.  ...  example Fig. 4: An example of an adversarial attack on deep learning. 2) Deep learning algorithms are largely black boxes and have low interpretability.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.04311v3">arXiv:1803.04311v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/awuvyviarvbr5kd5ilqndpfsde">fatcat:awuvyviarvbr5kd5ilqndpfsde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200822023821/https://arxiv.org/pdf/1803.04311v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/dc/e4dc861db261aa597bdbb59d0413fadf9c855ee1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.04311v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b4kxurpz5vbn7gog6wq32vliii" style="color: black;">IEEE Communications Surveys and Tutorials</a> </i> &nbsp;
Drawing from our experience, we discuss how to tailor deep learning to mobile environments. We complete this survey by pinpointing current challenges and open future directions for research.  ...  The recent success of deep learning underpins new and powerful tools that tackle problems in this space.  ...  We illustrate an example of such an adversarial attack in Fig. 4 2) Deep learning algorithms are largely black boxes and have low interpretability.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/comst.2019.2904897">doi:10.1109/comst.2019.2904897</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xmmrndjbsfdetpa5ef5e3v4xda">fatcat:xmmrndjbsfdetpa5ef5e3v4xda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322003440/https://www.research.ed.ac.uk/portal/files/81194497/comst19.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/7d/da7d4cfc324f767916a05a9cc1abc39717884d84.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/comst.2019.2904897"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A 20-Year Community Roadmap for Artificial Intelligence Research in the US [article]

Yolanda Gil, Bart Selman
<span title="2019-08-07">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap  ...  for AI research and development over the next two decades.  ...  Machine learning models, on the other hand, require little human effort, but they are "black boxes."  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.02624v1">arXiv:1908.02624v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jza6i2tzufgeracsou77qukbu4">fatcat:jza6i2tzufgeracsou77qukbu4</a> </span>
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State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa ALeksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Čartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazım Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta (+27 others)
<span title="2022-03-28">2022</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs.  ...  The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action.  ...  For this reason, they are often referred to as "black boxes" or "opaque models".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6390708">doi:10.5281/zenodo.6390708</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6qfwqd2v2rhe5iuu5zgz77ay4i">fatcat:6qfwqd2v2rhe5iuu5zgz77ay4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220329064100/https://zenodo.org/record/6390709/files/GoodBrother%20-%20State%20of%20the%20Art%20of%20Audio-%20and%20Video-Based%20Solutions%20for%20AAL.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4e/9f/4e9f3ed01eeb32ac708a19fb83ba567012f68bfb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6390708"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

The State of AI Ethics Report (June 2020) [article]

Abhishek Gupta
<span title="2020-06-25">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This pulse-check for the state of discourse, research, and development is geared towards researchers and practitioners alike who are making decisions on behalf of their organizations in considering the  ...  Artificial intelligence has become the byword for technological progress and is being used in everything from helping us combat the COVID-19 pandemic to nudging our attention in different directions as  ...  There are some tools like mlsec and cleverhans that provide white-and black-box testing; one of the potential future directions for research is to extend this to the cases of model stealing, model inversion  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.14662v1">arXiv:2006.14662v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q76dnqzh4ja5pofurjmpmyeyey">fatcat:q76dnqzh4ja5pofurjmpmyeyey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201101025243/https://arxiv.org/ftp/arxiv/papers/2006/2006.14662.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/96/ca9645dde39fd34bf2057343fefcc99000a2b82e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.14662v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Program

<span title="2021-09-12">2021</span> <i title="IEEE"> 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) </i> &nbsp;
In this tutorial, we will highlight the motivation behind distributed AI models for Internet of Things (IoT) applications, and cyber-physical systems (CPS), in light of traditional cloud-based architectures  ...  This motivated the need for new emerging trends such as Edge, Fog, and Pervasive Computing, where we merge hierarchical computing with efficient communication, leveraging learning-based distributed optimization  ...  Then, we discuss adversarial attack problem for DNN-based human activity recognition and formulate three white-box attacks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ccece53047.2021.9569199">doi:10.1109/ccece53047.2021.9569199</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/35c7o6f6svc5rgnyhjpbvjp7iy">fatcat:35c7o6f6svc5rgnyhjpbvjp7iy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220511183412/https://ieeexplore.ieee.org/ielx7/9569025/9569028/09569199.pdf?tp=&amp;arnumber=9569199&amp;isnumber=9569028&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/e0/45e002e907eee879d01ed174dedb4e7046499f8c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ccece53047.2021.9569199"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

The Roles and Modes of Human Interactions with Automated Machine Learning Systems [article]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
<span title="2022-05-09">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
(ii) Do the expectations of HCI within AutoML frameworks vary for different types of users and stakeholders?  ...  (iv) As AutoML systems become more autonomous and capable of learning from complex open-ended environments, will the fundamental nature of HCI evolve?  ...  2018 [192] , and black-box medical diagnosis models in general [74] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.04139v1">arXiv:2205.04139v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kfo3oybsjvfs5gjyt2j3dbaali">fatcat:kfo3oybsjvfs5gjyt2j3dbaali</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220511042026/https://arxiv.org/pdf/2205.04139v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/f7/6ef7d1f5dea95d28fa89a116867ca03395add5ea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.04139v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
<span title="2022-05-18">2022</span> <i title="Zenodo"> Zenodo </i> &nbsp;
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  Acknowledgment The authors are grateful to the European Union Ministry of Turkey, National Agency of Turkey, for the support of this project under the Project Code: 2015-1-TR01-KA203-021342 entitled Innovative  ...  Acknowledgements This research was funded by National Agency for Research & Development of Chilean Government.  ... 
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The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI [article]

Susan von Struensee
<span title="2021-07-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.  ...  Coalitions in all sectors are acting worldwide to resist hamful applications of AI.  ...  costs by repurposing and retraining AI models for new or specific tasks, a phenomenon called transfer learning.  ... 
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