What You See is What You Get: Principled Deep Learning via Distributional Generalization
Authors: Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran | Published: 2022-04-07 | Updated: 2022-10-17
Improvement of Learning
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
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CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
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Constraining Logits by Bounded Function for Adversarial Robustness
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Adversarial Boot Camp: label free certified robustness in one epoch
Authors: Ryan Campbell, Chris Finlay, Adam M Oberman | Published: 2020-10-05
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Authors: Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi | Published: 2020-07-06
Rethinking Clustering for Robustness
Authors: Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali Thabet, Pablo Arbeláez, Bernard Ghanem | Published: 2020-06-13 | Updated: 2021-11-19
Interpolation between Residual and Non-Residual Networks
Authors: Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi | Published: 2020-06-10 | Updated: 2020-08-16
Low Distortion Block-Resampling with Spatially Stochastic Networks
Authors: Sarah Jane Hong, Martin Arjovsky, Darryl Barnhart, Ian Thompson | Published: 2020-06-09 | Updated: 2020-12-10
On the Effectiveness of Regularization Against Membership Inference Attacks
Authors: Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras | Published: 2020-06-09