Varun Chandrasekaran
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Machine unlearning
L Bourtoule, V Chandrasekaran, CA Choquette-Choo, H Jia, A Travers, ...
2021 IEEE Symposium on Security and Privacy (SP), 141-159, 2021
Exploring connections between active learning and model extraction
V Chandrasekaran, K Chaudhuri, I Giacomelli, S Jha, S Yan
29th {USENIX} Security Symposium ({USENIX} Security 20), 1309-1326, 2020
Entangled watermarks as a defense against model extraction
H Jia, CA Choquette-Choo, V Chandrasekaran, N Papernot
30th {USENIX} Security Symposium ({USENIX} Security 21), 2021
On the effectiveness of mitigating data poisoning attacks with gradient shaping
S Hong, V Chandrasekaran, Y Kaya, T Dumitraş, N Papernot
arXiv preprint arXiv:2002.11497, 2020
Traversing the quagmire that is privacy in your smart home
C Gao, V Chandrasekaran, K Fawaz, S Banerjee
Proceedings of the 2018 Workshop on IoT Security and Privacy, 22-28, 2018
Blackout and obfuscator: an exploration of the design space for privacy-preserving interventions for voice assistants
V Chandrasekaran, T Linden, K Fawaz, B Mutlu, S Banerjee
arXiv preprint arXiv:1812.00263, 2018
Face-off: Adversarial face obfuscation
V Chandrasekaran, C Gao, B Tang, K Fawaz, S Jha, S Banerjee
arXiv preprint arXiv:2003.08861, 2020
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering
L Jain, V Chandrasekaran, U Jang, W Wu, A Lee, A Yan, S Chen, S Jha, ...
arXiv preprint arXiv:1910.00727, 2019
A framework for analyzing spectrum characteristics in large spatio-temporal scales
Y Zeng, V Chandrasekaran, S Banerjee, D Giustiniano
The 25th Annual International Conference on Mobile Computing and Networking …, 2019
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
J Raghuram, V Chandrasekaran, S Jha, S Banerjee
International Conference on Machine Learning, 8764-8775, 2021
Secure mobile identities
V Chandrasekaran, F Amjad, A Sharma, L Subramanian
arXiv preprint arXiv:1604.04667, 2016
Proof-of-Learning: Definitions and Practice
H Jia, M Yaghini, CA Choquette-Choo, N Dullerud, A Thudi, ...
arXiv preprint arXiv:2103.05633, 2021
Rearchitecting Classification Frameworks For Increased Robustness
V Chandrasekaran, B Tang, N Papernot, K Fawaz, S Jha, X Wu
arXiv preprint arXiv:1905.10900, 2019
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
A Travers, L Licollari, G Wang, V Chandrasekaran, A Dziedzic, D Lie, ...
arXiv preprint arXiv:2108.02010, 2021
Fourth International Workshop on Dependable and Secure Machine Learning–DSML 2021
H Xu, G Li, H Alemzadeh, R Bobba, V Chandrasekaran, DE Evans, ...
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
Causally Constrained Data Synthesis for Private Data Release
V Chandrasekaran, D Edge, S Jha, A Sharma, C Zhang, S Tople
arXiv preprint arXiv:2105.13144, 2021
Third International Workshop on Dependable and Secure Machine Learning–DSML 2020
H Alemzadeh, R Bobba, V Chandrasekaran, DE Evans, N Papernot, ...
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020
Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles
A Sharma, V Chandrasekaran, F Amjad, D Shasha, L Subramanian
Proceedings of the 7th Annual Symposium on Computing for Development, 1-10, 2016
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