A general framework for defining and optimizing robustness
Authors: Alessandro Tibo, Manfred Jaeger, Kim G. Larsen | Published: 2020-06-19 | Updated: 2021-05-29
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Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
Authors: I. Fursov, A. Zaytsev, N. Kluchnikov, A. Kravchenko, E. Burnaev | Published: 2020-06-19
Towards an Adversarially Robust Normalization Approach
Authors: Muhammad Awais, Fahad Shamshad, Sung-Ho Bae | 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
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Authors: Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis | Published: 2020-06-18
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training
Authors: Eran Segalis, Eran Galili | Published: 2020-06-17 | Updated: 2020-11-25
Classifier-independent Lower-Bounds for Adversarial Robustness
Authors: Elvis Dohmatob | Published: 2020-06-17 | Updated: 2020-11-10
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Authors: Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2020-06-16