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
敵対的サンプル
Towards Understanding Fast Adversarial Training
Authors: Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin | Published: 2020-06-04
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Authors: Mitch Hill, Jonathan Mitchell, Song-Chun Zhu | Published: 2020-05-27 | Updated: 2021-03-18
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
Authors: Moritz Seiler, Heike Trautmann, Pascal Kerschke | Published: 2020-05-27
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Authors: Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan | Published: 2020-05-23
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Authors: Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan | Published: 2020-05-19
Universalization of any adversarial attack using very few test examples
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam, Vineeth N Balasubramanian | Published: 2020-05-18 | Updated: 2022-10-28
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Authors: Mahdieh Abbasi, Arezoo Rajabi, Christian Gagne, Rakesh B. Bobba | Published: 2020-05-17
Universal Adversarial Perturbations: A Survey
Authors: Ashutosh Chaubey, Nikhil Agrawal, Kavya Barnwal, Keerat K. Guliani, Pramod Mehta | Published: 2020-05-16
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Authors: Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt | Published: 2020-05-14 | Updated: 2020-09-01