401 citations · 1.6k across the 64 of their papers we have counts for
5 papers · 1 filter
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
Shutong Wu, Sizhe Chen, Cihang Xie +1
Unlearnable examples (ULEs) aim to protect data from unauthorized usage for training DNNs. Existing work adds -bounded perturbations to the original sample so that the…
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen, Zhehao Huang, Qinghua Tao +3
The score-based query attacks (SQAs) pose practical threats to deep neural networks by crafting adversarial perturbations within dozens of queries, only using the model's output sc…
Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong +2
It is commonly believed that networks cannot be both accurate and robust, that gaining robustness means losing accuracy. It is also generally believed that, unless making networks…
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23
CleverHans is a software library that provides standardized reference implementations of adversarial example construction techniques and adversarial training. The library may be us…
Unsupervised learning of object semantic parts from internal states of CNNs by population encoding
Jianyu Wang, Zhishuai Zhang, Cihang Xie +2
We address the key question of how object part representations can be found from the internal states of CNNs that are trained for high-level tasks, such as object classification. T…