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Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Sep 27, 2021
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot

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SoK: Machine Learning Governance

Sep 20, 2021
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

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On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

Aug 03, 2021
Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot

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Causally Constrained Data Synthesis for Private Data Release

May 27, 2021
Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople

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Proof-of-Learning: Definitions and Practice

Mar 09, 2021
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot

* To appear in the 42nd IEEE Symposium on Security and Privacy 

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Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers

Jul 29, 2020
Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee

* 32 pages, 13 figures 

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On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

Feb 27, 2020
Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya, Tudor Dumitraş, Nicolas Papernot

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Machine Unlearning

Dec 09, 2019
Lucas Bourtoule, Varun Chandrasekaran, Christopher Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot

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Generating Semantic Adversarial Examples with Differentiable Rendering

Oct 02, 2019
Lakshya Jain, Wilson Wu, Steven Chen, Uyeong Jang, Varun Chandrasekaran, Sanjit Seshia, Somesh Jha

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Enhancing ML Robustness Using Physical-World Constraints

May 26, 2019
Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu

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Model Extraction and Active Learning

Dec 04, 2018
Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan

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