Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Authors: Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos | Published: 2020-07-09
モデルの堅牢性
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning
Authors: Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar | Published: 2019-10-18 | Updated: 2021-03-01
Mapper Based Classifier
Authors: Jacek Cyranka, Alexander Georges, David Meyer | Published: 2019-10-17 | Updated: 2019-10-21
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Authors: Yogesh Balaji, Tom Goldstein, Judy Hoffman | Published: 2019-10-17
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Authors: Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger | Published: 2019-10-16 | Updated: 2019-12-04
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
Authors: Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho | Published: 2019-10-15
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness
Authors: Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar | Published: 2019-10-15 | Updated: 2020-09-27
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization
Authors: Rayan Mosli, Matthew Wright, Bo Yuan, Yin Pan | Published: 2019-09-16
PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks
Authors: Hang Yu, Aishan Liu, Xianglong Liu, Gengchao Li, Ping Luo, Ran Cheng, Jichen Yang, Chongzhi Zhang | Published: 2019-09-11 | Updated: 2020-02-24
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Authors: Gokula Krishnan Santhanam, Paulina Grnarova | Published: 2018-05-27