Trade-offs between membership privacy & adversarially robust learning
Authors: Jamie Hayes | Published: 2020-06-08 | Updated: 2022-01-08
Adversarial Feature Desensitization
Authors: Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Aaron Richards, Irina Rish | Published: 2020-06-08 | Updated: 2022-01-04
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection
Authors: Abdallah Moubayed, Emad Aqeeli, Abdallah Shami | Published: 2020-06-08
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
Authors: Théo Ryffel, Pierre Tholoniat, David Pointcheval, Francis Bach | Published: 2020-06-08 | Updated: 2021-10-28
Tricking Adversarial Attacks To Fail
Authors: Blerta Lindqvist | Published: 2020-06-08
On Universalized Adversarial and Invariant Perturbations
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam | Published: 2020-06-08
Distributional Robustness with IPMs and links to Regularization and GANs
Authors: Hisham Husain | Published: 2020-06-08
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Authors: Qian Lou, Song Bian, Lei Jiang | Published: 2020-06-07 | Updated: 2020-10-15
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks
Authors: Maria Grammatopoulou, Aris Kanellopoulos, Kyriakos G. ~Vamvoudakis, Nathan Lau | Published: 2020-06-06
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
Authors: Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli | Published: 2020-06-06 | Updated: 2021-12-29