Adversarial Self-Supervised Contrastive Learning
Authors: Minseon Kim, Jihoon Tack, Sung Ju Hwang | Published: 2020-06-13 | Updated: 2020-10-26
Poisoning
Backdoor Attacks on Federated Meta-Learning
Authors: Chien-Lun Chen, Leana Golubchik, Marco Paolieri | Published: 2020-06-12 | Updated: 2020-12-16
Backdoors in Neural Models of Source Code
Authors: Goutham Ramakrishnan, Aws Albarghouthi | Published: 2020-06-11
Sponge Examples: Energy-Latency Attacks on Neural Networks
Authors: Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, Ross Anderson | Published: 2020-06-05 | Updated: 2021-05-12
Perturbation Analysis of Gradient-based Adversarial Attacks
Authors: Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem | Published: 2020-06-02
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense
Authors: Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V Gopalan | Published: 2020-06-02
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods
Authors: Kyungmi Lee, Anantha P. Chandrakasan | Published: 2020-06-01
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
Authors: Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang | Published: 2020-05-26 | Updated: 2020-08-17
Keyed Non-Parametric Hypothesis Tests
Authors: Yao Cheng, Cheng-Kang Chu, Hsiao-Ying Lin, Marius Lombard-Platet, David Naccache | Published: 2020-05-25
Adversarial Feature Selection against Evasion Attacks
Authors: Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli | Published: 2020-05-25