Smooth Adversarial Training
Authors: Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le | Published: 2020-06-25 | Updated: 2021-07-11
敵対的サンプル
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
Authors: Josue Ortega Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit Patel | Published: 2020-06-19 | Updated: 2023-03-08
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
Authors: I. Fursov, A. Zaytsev, N. Kluchnikov, A. Kravchenko, E. Burnaev | Published: 2020-06-19
Adversarial Attacks for Multi-view Deep Models
Authors: Xuli Sun, Shiliang Sun | Published: 2020-06-19
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Authors: Kaleel Mahmood, Deniz Gurevin, Marten van Dijk, Phuong Ha Nguyen | Published: 2020-06-18 | Updated: 2021-05-20
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions
Authors: Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee | Published: 2020-06-18 | Updated: 2021-11-24
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Authors: Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi | Published: 2020-06-16
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks
Authors: Sarada Krithivasan, Sanchari Sen, Anand Raghunathan | Published: 2020-06-14 | Updated: 2020-09-14
On the transferability of adversarial examples between convex and 01 loss models
Authors: Yunzhe Xue, Meiyan Xie, Usman Roshan | Published: 2020-06-14 | Updated: 2020-07-29
Defensive Approximation: Securing CNNs using Approximate Computing
Authors: Amira Guesmi, Ihsen Alouani, Khaled Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh | Published: 2020-06-13 | Updated: 2021-07-29