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Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
[article]
2019
arXiv
pre-print
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We compare NEUTAINT with 3 state-of-the-art dynamic taint analysis tools. ...
Dynamic taint analysis (DTA) is widely used by various applications to track information flow during runtime execution. ...
Lastly, we discuss saliency maps for neural networks, which can be used to conduct information flow analysis for dynamic program embeddings. Dynamic Taint Analysis (DTA). ...
arXiv:1907.03756v2
fatcat:ky7bspa4zvftrdlc6tosn3xsme
Fine Grained Dataflow Tracking with Proximal Gradients
[article]
2021
arXiv
pre-print
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
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2021 pre-print arXiv:1909.03461v5 fatcat:gwv2t2iz5vbijncu2dxcllqwgiOther Versions
Dataflow tracking with Dynamic Taint Analysis (DTA) is an important method in systems security with many applications, including exploit analysis, guided fuzzing, and side-channel information leak detection ...
We introduce proximal gradient analysis (PGA), a novel, theoretically grounded approach that can track more accurate and fine-grained dataflow information. ...
Related Work Dynamic Taint Analysis. Dynamic Taint Analysis (DTA) tracks data flow from taint sources to taint sinks at runtime. ...
arXiv:1909.03461v6
fatcat:2kuubtwdfbadpj7r5j37rz4gp4