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Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing



Ryan Feng , Somesh Jha , Atul Prakash


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Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms



Saeed Mahloujifar , Alexandre Sablayrolles , Graham Cormode , Somesh Jha


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Concept-based Explanations for Out-Of-Distribution Detectors



Jihye Choi , Jayaram Raghuram , Ryan Feng , Jiefeng Chen , Somesh Jha , Atul Prakash

* 19 pages, 9 figures 

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A Quantitative Geometric Approach to Neural Network Smoothness



Zi Wang , Gautam Prakriya , Somesh Jha


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Towards Adversarially Robust Deepfake Detection: An Ensemble Approach



Ashish Hooda , Neal Mangaokar , Ryan Feng , Kassem Fawaz , Somesh Jha , Atul Prakash


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An Exploration of Multicalibration Uniform Convergence Bounds



Harrison Rosenberg , Robi Bhattacharjee , Kassem Fawaz , Somesh Jha


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Towards Evaluating the Robustness of Neural Networks Learned by Transduction



Jiefeng Chen , Xi Wu , Yang Guo , Yingyu Liang , Somesh Jha

* arXiv admin note: substantial text overlap with arXiv:2106.08387 

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Fairness Properties of Face Recognition and Obfuscation Systems



Harrison Rosenberg , Brian Tang , Kassem Fawaz , Somesh Jha


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Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels



Jayaram Raghuram , Yijing Zeng , Dolores García Martí , Somesh Jha , Suman Banerjee , Joerg Widmer , Rafael Ruiz Ortiz

* Under Review. 22 pages, 8 figures 

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Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles



Jiefeng Chen , Frederick Liu , Besim Avci , Xi Wu , Yingyu Liang , Somesh Jha


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