Search Results for author: Vaibhav Rastogi

Found 5 papers, 3 papers with code

Robust Attribution Regularization

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.

Security Issues in Language-based Software Ecosystems

1 code implementation6 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

Neural-Augmented Static Analysis of Android Communication

no code implementations11 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.

Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks

1 code implementation20 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.

DroidNative: Semantic-Based Detection of Android Native Code Malware

no code implementations15 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

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