Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models
Authors: Paweł Morawiecki, Przemysław Spurek, Marek Śmieja, Jacek Tabor | Published: 2019-06-03 | Updated: 2019-07-03
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Disparate Vulnerability to Membership Inference Attacks
Authors: Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso | Published: 2019-06-02 | Updated: 2021-09-16
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Authors: Qian Lou, Lei Jiang | Published: 2019-06-01 | Updated: 2019-11-16
IoT Network Security from the Perspective of Adversarial Deep Learning
Authors: Yalin E. Sagduyu, Yi Shi, Tugba Erpek | Published: 2019-05-31
Unlabeled Data Improves Adversarial Robustness
Authors: Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John C. Duchi | Published: 2019-05-31 | Updated: 2022-01-13
Are Labels Required for Improving Adversarial Robustness?
Authors: Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli | Published: 2019-05-31 | Updated: 2019-12-05
L0 Regularization Based Neural Network Design and Compression
Authors: S. Asim Ahmed | Published: 2019-05-31
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Authors: Andrey Malinin, Mark Gales | Published: 2019-05-31 | Updated: 2019-12-02
Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup
Authors: Yair Meidan, Vinay Sachidananda, Yuval Elovici, Asaf Shabtai | Published: 2019-05-31
Bypassing Backdoor Detection Algorithms in Deep Learning
Authors: Te Juin Lester Tan, Reza Shokri | Published: 2019-05-31 | Updated: 2020-06-06