Provably Robust Adversarial Examples
Authors: Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin Vechev | Published: 2020-07-23 | Updated: 2022-03-17
性能評価
Hide-and-Seek Privacy Challenge
Authors: James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar | Published: 2020-07-23 | Updated: 2020-07-24
Private Post-GAN Boosting
Authors: Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork | Published: 2020-07-23 | Updated: 2021-03-25
Scaling Polyhedral Neural Network Verification on GPUs
Authors: Christoph Müller, François Serre, Gagandeep Singh, Markus Püschel, Martin Vechev | Published: 2020-07-20 | Updated: 2021-05-18
Learning perturbation sets for robust machine learning
Authors: Eric Wong, J. Zico Kolter | Published: 2020-07-16 | Updated: 2020-10-08
Data Poisoning Attacks Against Federated Learning Systems
Authors: Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu | Published: 2020-07-16 | Updated: 2020-08-11
On Adversarial Robustness: A Neural Architecture Search perspective
Authors: Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian | Published: 2020-07-16 | Updated: 2021-08-26
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-15 | Updated: 2020-10-23
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
Authors: Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar | Published: 2020-07-14
Generating Adversarial Inputs Using A Black-box Differential Technique
Authors: João Batista Pereira Matos Juúnior, Lucas Carvalho Cordeiro, Marcelo d'Amorim, Xiaowei Huang | Published: 2020-07-10