1 code implementation • NeurIPS 2019 • Jiefeng Chen, Xi Wu, Vaibhav Rastogi, YIngyu Liang, Somesh Jha
An emerging problem in trustworthy machine learning is to train models that produce robust interpretations for their predictions.
1 code implementation • 20 May 2018 • Jiefeng Chen, Xi Wu, Vaibhav Rastogi, YIngyu Liang, Somesh Jha
We analyze our results in a theoretical framework and offer strong evidence that pixel discretization is unlikely to work on all but the simplest of the datasets.
no code implementations • 11 Sep 2018 • Jinman Zhao, Aws Albarghouthi, Vaibhav Rastogi, Somesh Jha, Damien Octeau
We address the problem of discovering communication links between applications in the popular Android mobile operating system, an important problem for security and privacy in Android.
1 code implementation • 6 Mar 2019 • Ruturaj K. Vaidya, Lorenzo De Carli, Drew Davidson, Vaibhav Rastogi
These issues are inherent to the ways these ecosystems work and cannot be resolved by fixing software vulnerabilities in either the packages or the utilities, e. g., package manager tools, that build these ecosystems.
Cryptography and Security
no code implementations • 15 Feb 2016 • Shahid Alam, Zhengyang Qu, Ryan Riley, Yan Chen, Vaibhav Rastogi
This paper proposes DroidNative, an Android malware detector that uses specific control flow patterns to reduce the effect of obfuscations, provides automation and platform independence, and as far as we know is the first system that operates at the Android native code level, allowing it to detect malware embedded in both native code and bytecode.
Cryptography and Security