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WeightScale: Interpreting Weight Change in Neural Networks

Jul 07, 2021
Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh

* 9 pages, 8 figures. arXiv admin note: text overlap with arXiv:2011.06735 

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Why is Pruning at Initialization Immune to Reinitializing and Shuffling?

Jul 05, 2021
Sahib Singh, Rosanne Liu

* 6 pages, 2 figures 

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Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples

Jul 01, 2021
Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash

* ICML 2021 workshop on A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning 

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Benchmarking Differential Privacy and Federated Learning for BERT Models

Jun 26, 2021
Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zumrut Muftuoglu, Sahib Singh, Fatemehsadat Mireshghallah

* 4 pages, 3 tables, 1 figure 

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DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

Jun 22, 2021
Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Joslin Kenfack, Fatemehsadat Mireshghallah, Andrew Trask

* 4 pages, 3 images 

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Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change

Dec 01, 2020
Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh, Amr Kayid

* 14 pages, 20 figures 

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Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy

Oct 03, 2020
Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask

* 5 pages, 5 figures 

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Benchmarking Differentially Private Residual Networks for Medical Imagery

Jun 28, 2020
Sahib Singh, Harshvardhan Sikka, Sasikanth Kotti, Andrew Trask

* 5 Pages, 3 Figures 

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