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Quantifying identifiability to choose and audit ϵ in differentially private deep learning [article]

Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum
2021 arXiv   pre-print
To use differential privacy in machine learning, data scientists must choose privacy parameters $(\epsilon,\delta)$.  ...  We formulate an implementation of this differential privacy adversary that allows data scientists to audit model training and compute empirical identifiability scores and empirical $(\epsilon,\delta)$.  ...  learning repository [7] .  ... 
arXiv:2103.02913v3 fatcat:ffnff2vyujh7dndoz7lswit6ty

Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning [article]

Milad Nasr, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Nicholas Carlini
2021 arXiv   pre-print
Differentially private (DP) machine learning allows us to train models on private data while limiting data leakage.  ...  deployments, there is a gap between our lower bounds and the upper bounds provided by the analysis: differential privacy is conservative and adversaries may not be able to leak as much information as  ...  Milad Nasr is supported by a Google PhD Fellowship in Security and Privacy.  ... 
arXiv:2101.04535v1 fatcat:dd63skimefcanemach2qdkharu

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning

Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2020 IEEE Transactions on Dependable and Secure Computing  
In particular, we build a fair and differentially private decentralised deep learning framework called FDPDDL, which enables parties to derive more accurate local models in a fair and private manner by  ...  local credibility of each party and generate initial tokens; during the update stage, Differentially Private SGD (DPSGD) is used to facilitate collaborative privacy-preserving deep learning, and local  ...  ACKNOWLEDGMENT This work is partially supported by Faculty of Information Technology, Monash University; and an IBM PhD Fellowship.  ... 
doi:10.1109/tdsc.2020.3006287 fatcat:kwhzr3qj5vbtlehkh4areejsoa

ENVIRONMENTAL MANAGEMENT SYSTEMS [chapter]

2014 Standards and Quality  
Some organizations may in fact be able to push their newly learned capabilities deep into what Jennings and Zandergen (1995) describe as the enterprises' learning systems, creating congruence across  ...  Access to these programs may facilitate privately owned organizations' decisions to participate in a VEI, because they are less likely to have the higher-order learning processes and capacities to manage  ...  time; lack of public awareness, understanding and buy-in; and political uncertainty, especially in relation to continued support through changes in elected administration.  ... 
doi:10.1142/9789814623582_0008 fatcat:f4p45dh3mbheto2hngw2uoxh4i

96/00942 Environmental management systems

1996 Fuel and Energy Abstracts  
Some organizations may in fact be able to push their newly learned capabilities deep into what Jennings and Zandergen (1995) describe as the enterprises' learning systems, creating congruence across  ...  Access to these programs may facilitate privately owned organizations' decisions to participate in a VEI, because they are less likely to have the higher-order learning processes and capacities to manage  ...  time; lack of public awareness, understanding and buy-in; and political uncertainty, especially in relation to continued support through changes in elected administration.  ... 
doi:10.1016/0140-6701(96)90995-9 fatcat:jexfth5m7jajnbruh2v74jxcja

Environmental Management Systems [chapter]

1999 International Environmental Standards Handbook  
Some organizations may in fact be able to push their newly learned capabilities deep into what Jennings and Zandergen (1995) describe as the enterprises' learning systems, creating congruence across  ...  Access to these programs may facilitate privately owned organizations' decisions to participate in a VEI, because they are less likely to have the higher-order learning processes and capacities to manage  ...  time; lack of public awareness, understanding and buy-in; and political uncertainty, especially in relation to continued support through changes in elected administration.  ... 
doi:10.1201/9781420048520.ch9 fatcat:jzwlanhpvrfidbklpvjjpa43wi

Environmental management systems [chapter]

2011 Environmental Impact Assessment  
Some organizations may in fact be able to push their newly learned capabilities deep into what Jennings and Zandergen (1995) describe as the enterprises' learning systems, creating congruence across  ...  Access to these programs may facilitate privately owned organizations' decisions to participate in a VEI, because they are less likely to have the higher-order learning processes and capacities to manage  ...  time; lack of public awareness, understanding and buy-in; and political uncertainty, especially in relation to continued support through changes in elected administration.  ... 
doi:10.1201/b10717-7 fatcat:rdthxxr3gfeflbm2thnrsdrqyu

Security and Privacy Issues in Deep Learning [article]

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Hyungyu Lee, Sungroh Yoon
2021 arXiv   pre-print
In this paper, we describe the notions of some of methods, e.g., homomorphic encryption, and review their advantages and challenges when implemented in deep-learning models.  ...  To promote secure and private artificial intelligence (SPAI), we review studies on the model security and data privacy of DNNs.  ...  Phan et al. [2016] proposed a deep private autoencoder (dPA) and proved that the dPA is differentially private based on the functional mechanism.  ... 
arXiv:1807.11655v4 fatcat:k7mizsqgrfhltktu6pf5htlmy4

Advances and Open Problems in Federated Learning [article]

Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G.L. D'Oliveira, Hubert Eichner (+47 others)
2021 arXiv   pre-print
Motivated by the explosive growth in FL research, this paper discusses recent advances and presents an extensive collection of open problems and challenges.  ...  FL embodies the principles of focused data collection and minimization, and can mitigate many of the systemic privacy risks and costs resulting from traditional, centralized machine learning and data science  ...  Acknowledgments The authors would like to thank Alex Ingerman and David Petrou for their useful suggestions and insightful comments during the review process.  ... 
arXiv:1912.04977v3 fatcat:efkbqh4lwfacfeuxpe5pp7mk6a

D2.2 The COLLABS Level-3 Security Package for Secure Digital Supply Networks: 1st complete version

Panagiotis Rizomiliotis, Konstantinos Tserpes, Aikaterini Triakosia
2021 Zenodo  
(Statistical Analytics and Machine- / Deep-Learning on shared data), T2.5 (Distributed anomaly detection for Industrial IoT) and T2.6 (Workflow-driven security for supply chain and compliance in manufacturing  ...  ) related to the 1st version of integrated platform of the project.  ...  With differential privacy appropriately defined, privacy guarantees are achieved by the introduction of randomness, by the data provider, in response to queries, which machine and deep learning algorithms  ... 
doi:10.5281/zenodo.5667012 fatcat:xgzhqfeq6nbwte4h256pntlkau

Ethical Issues in the Big Data Industry [chapter]

Kirsten E. Martin
2020 Strategic Information Management  
For and effectively called for by Cranor.41 Users would example, data brokers and aggregators that store then be able to identify and choose trusted and and distribute  ...  fully differentiate between personally identifiable information (PII) and non-PII is debatable, as argued by Narayanan, A.  ... 
doi:10.4324/9780429286797-20 fatcat:ord7bmzmwbbx7gfhbq6j45ufpa

Ridesourcing systems: A framework and review

Hai Wang, Hai Yang
2019 Transportation Research Part B: Methodological  
In some places, taxi drivers are required to work full-time, and in others, taxi drivers may schedule their work flexibly as private business owners.  ...  In ridesourcing systems, drivers, often freelancers, can use their own or leased cars to offer transportation services whenever and wherever they choose, subject to fewer regulations than taxi drivers.  ...  We also express our sincere appreciation to the seven anonymous referees for their invaluable comments and suggestions.  ... 
doi:10.1016/j.trb.2019.07.009 fatcat:m5rxzhsxsfaunoep77nsqdhbny

EXPRESS: Informational Challenges in Omnichannel Marketing: Remedies and Future Research

Tony Haitao Cui, Anindya Ghose, Hanna Halaburda, Raghuram Iyengar, Koen Pauwels, S. Sriram, Catherine Tucker, Sriraman Venkataraman
2020 Journal of Marketing  
We identify both recent developments in practice and promising avenues for future research.  ...  This article argues that advances in machine learning (ML) and blockchain offer some promising solutions.  ...  to collaboratively construct a machine-learning model while keeping their respective servers' training data private (Konecný et al. 2016) .  ... 
doi:10.1177/0022242920968810 fatcat:ojmhqmmpkzgs3pxkge7pt2k7ri

Abstracts of Working Papers in Economics

2001 Abstracts of Working Papers in Economics  
A functional organization in which the firm is organized into functional departments such as marketing and R&D is compared to a product-based organization in which the firm is organized into product lines  ...  Thus, entry by a marker maker results in uniformly higher surpluses for buyers and sellers and higher AB We examine an economy where human capital is the cause of growth.  ...  TI Right to Choose in Oral Auctions.  ... 
doi:10.1017/s0951007900005441 fatcat:t6dkdz4vfzcdhekrmsa2yjmjfm

Abstracts Presented at the Thirty–Fourth Annual International Neuropsychological Society Conference, February 1–4, 2006, Boston, Massachussetts, USA

2006 Journal of the International Neuropsychological Society  
The current study used fMRI to study RI following TBI and to examine regressions with RI accuracy and reaction time.  ...  Results : Using ANCOVA, TOMM scores accounted for a significant amount of variance in test performance on Digit Span and all subtests of the CVLT-II (η 2 ranged from .133 to .248), but not Trails A or  ...  Differential Hippocampal Activation in Response to Novel Happy and Sad Baby Faces.  ... 
doi:10.1017/s1355617706069918 fatcat:cy3cbwlgrvccfnn6w7inplceni
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