Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
Authors: Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi | Published: 2020-02-08 | Updated: 2020-08-14
ロバスト性向上手法
Analysis of Random Perturbations for Robust Convolutional Neural Networks
Authors: Adam Dziedzic, Sanjay Krishnan | Published: 2020-02-08 | Updated: 2020-06-07
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Authors: Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter | Published: 2020-02-07 | Updated: 2020-08-11
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
Authors: Ting-Wu Chin, Cha Zhang, Diana Marculescu | Published: 2020-02-07 | Updated: 2021-04-28
Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks
Authors: Moshe Kravchik, Asaf Shabtai | Published: 2020-02-07
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
Authors: David Mickisch, Felix Assion, Florens Greßner, Wiebke Günther, Mariele Motta | Published: 2020-02-05
Defending Adversarial Attacks via Semantic Feature Manipulation
Authors: Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen | Published: 2020-02-03 | Updated: 2020-04-22
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain
Authors: Yigit Alparslan, Ken Alparslan, Jeremy Keim-Shenk, Shweta Khade, Rachel Greenstadt | Published: 2020-01-30 | Updated: 2021-02-08
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance
Authors: Farhad Farokhi | Published: 2020-01-29
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
Authors: William Briguglio, Sherif Saad | Published: 2020-01-27