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Reward Delay Attacks on Deep Reinforcement Learning


Sep 08, 2022
Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher Gill, Ning Zhang

* 20 pages, 9 figures, Conference on Decision and Game Theory for Security 

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How Powerful are K-hop Message Passing Graph Neural Networks


May 26, 2022
Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang


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Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach


Oct 30, 2021
Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N Balasubramanian

* 16 pages, 9 figures, Accepted at NeurIPS 2021, Code at https://github.com/sowgali/Get-Fooled-for-the-Right-Reason 

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Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach


Aug 25, 2021
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N Balasubramanian

* 11 pages, 7 figures 

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Enhanced Regularizers for Attributional Robustness


Dec 28, 2020
Anindya Sarkar, Anirban Sarkar, Vineeth N Balasubramanian

* 15 pages, 18 figures, Accepted at AAAI 2021 

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Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation


Oct 21, 2019
Anindya Sarkar, Nikhil Kumar Gupta, Raghu Iyengar

* Adversarial Machine Learning 

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Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation


Oct 15, 2019
Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar

* 9 pages, 5 figures 

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