Certified Defense to Image Transformations via Randomized Smoothing
Authors: Marc Fischer, Maximilian Baader, Martin Vechev | Published: 2020-02-27 | Updated: 2021-08-25
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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
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
Authors: Camilo Pestana, Naveed Akhtar, Wei Liu, David Glance, Ajmal Mian | Published: 2020-02-25