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Neutaint: Efficient Dynamic Taint Analysis with Neural Networks [article]

Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana
2019 arXiv   pre-print
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]

Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, Suman Jana
2021 arXiv   pre-print
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