Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Authors: Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin | Published: 2020-04-30 | Updated: 2020-07-03
Poisoning
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Authors: Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri | Published: 2020-04-26
Improved Adversarial Training via Learned Optimizer
Authors: Yuanhao Xiong, Cho-Jui Hsieh | Published: 2020-04-25
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
Authors: Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kr. Das | Published: 2020-04-24 | Updated: 2021-09-09
Adversarial Attacks and Defenses: An Interpretation Perspective
Authors: Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu | Published: 2020-04-23 | Updated: 2020-10-07
How to compare adversarial robustness of classifiers from a global perspective
Authors: Niklas Risse, Christina Göpfert, Jan Philip Göpfert | Published: 2020-04-22 | Updated: 2020-10-15
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2020-04-22 | Updated: 2020-04-23
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Authors: Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu | Published: 2020-04-20
Data Poisoning Attacks on Federated Machine Learning
Authors: Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu | Published: 2020-04-19
Poisoning Attacks on Algorithmic Fairness
Authors: David Solans, Battista Biggio, Carlos Castillo | Published: 2020-04-15 | Updated: 2020-06-26