How Does Mixup Help With Robustness and Generalization?
Authors: Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou | Published: 2020-10-09 | Updated: 2021-03-17
ロバスト性評価
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
Authors: Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra | Published: 2020-10-03
Do Wider Neural Networks Really Help Adversarial Robustness?
Authors: Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu | Published: 2020-10-03 | Updated: 2021-08-14
CorrAttack: Black-box Adversarial Attack with Structured Search
Authors: Zhichao Huang, Yaowei Huang, Tong Zhang | Published: 2020-10-03
Query complexity of adversarial attacks
Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2020-10-02 | Updated: 2021-02-10
An alternative proof of the vulnerability of retrieval in high intrinsic dimensionality neighborhood
Authors: Teddy Furon | Published: 2020-10-02 | Updated: 2022-05-20
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks
Authors: Jie Peng, Weiyu Li, Qing Ling | Published: 2020-05-12 | Updated: 2020-12-18
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Authors: Jon Vadillo, Roberto Santana, Jose A. Lozano | Published: 2020-04-14 | Updated: 2023-01-25
Some Geometrical and Topological Properties of DNNs’ Decision Boundaries
Authors: Bo Liu, Mengya Shen | Published: 2020-03-07 | Updated: 2021-04-16
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Authors: Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter | Published: 2020-03-04 | Updated: 2020-09-21