Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Authors: Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh | Published: 2020-02-28 | Updated: 2020-10-26

Certified Defense to Image Transformations via Randomized Smoothing

Authors: Marc Fischer, Maximilian Baader, Martin Vechev | Published: 2020-02-27 | Updated: 2021-08-25

TSS: Transformation-Specific Smoothing for Robustness Certification

Authors: Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li | Published: 2020-02-27 | Updated: 2021-11-16

Heterogeneous Graph Neural Networks for Malicious Account Detection

Authors: Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song | Published: 2020-02-27

Entangled Watermarks as a Defense against Model Extraction

Authors: Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot | Published: 2020-02-27 | Updated: 2021-02-19

FMix: Enhancing Mixed Sample Data Augmentation

Authors: Ethan Harris, Antonia Marcu, Matthew Painter, Mahesan Niranjan, Adam Prügel-Bennett, Jonathon Hare | Published: 2020-02-27 | Updated: 2021-02-28

Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy

Authors: Aditya Saligrama, Guillaume Leclerc | Published: 2020-02-26

IoT Device Identification Using Deep Learning

Authors: Jaidip Kotak, Yuval Elovici | Published: 2020-02-25

Gödel’s Sentence Is An Adversarial Example But Unsolvable

Authors: Xiaodong Qi, Lansheng Han | Published: 2020-02-25

Towards Backdoor Attacks and Defense in Robust Machine Learning Models

Authors: Ezekiel Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay | Published: 2020-02-25 | Updated: 2023-01-11