Adversarially Robust Learning Could Leverage Computational Hardness
Authors: Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody | Published: 2019-05-28 | Updated: 2019-12-19
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Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
Authors: Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz | Published: 2019-05-27 | Updated: 2020-10-22
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Authors: Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde | Published: 2019-05-27 | Updated: 2022-10-01
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$
Authors: Francesco Croce, Matthias Hein | Published: 2019-05-27 | Updated: 2020-04-24
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Authors: Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Zhenyu Zhong, Tao Wei | Published: 2019-05-27 | Updated: 2019-05-30
Non-Determinism in Neural Networks for Adversarial Robustness
Authors: Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh | Published: 2019-05-26
Robust Classification using Robust Feature Augmentation
Authors: Kevin Eykholt, Swati Gupta, Atul Prakash, Amir Rahmati, Pratik Vaishnavi, Haizhong Zheng | Published: 2019-05-26 | Updated: 2019-09-18
Rearchitecting Classification Frameworks For Increased Robustness
Authors: Varun Chandrasekaran, Brian Tang, Nicolas Papernot, Kassem Fawaz, Somesh Jha, Xi Wu | Published: 2019-05-26 | Updated: 2019-12-03
Shredder: Learning Noise Distributions to Protect Inference Privacy
Authors: Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean Tullsen, Hadi Esmaeilzadeh | Published: 2019-05-26 | Updated: 2020-10-27
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
Authors: Avishek Joey Bose, Andre Cianflone, William L. Hamilton | Published: 2019-05-26 | Updated: 2020-01-20