Certified Patch Robustness via Smoothed Vision Transformers

11 October 2021

Papers citing "Certified Patch Robustness via Smoothed Vision Transformers"

20 / 20 papers shown

Title
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang Bo Jiang William Chan AAML 37 1 0 13 May 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 19 0 0 09 Jan 2024
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 27 5 0 29 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 15 1 0 24 Nov 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 49 2 0 19 Oct 2023
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang William Chan AAML 14 0 0 01 Aug 2023
Random Position Adversarial Patch for Vision Transformers Mingzhen Shao ViT AAML 30 2 0 09 Jul 2023
Estimating Conditional Mutual Information for Dynamic Feature Selection S. Gadgil Ian Covert Su-In Lee 24 3 0 05 Jun 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 37 49 0 18 May 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 29 4 0 13 Apr 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 29 10 0 30 Jan 2023
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 19 7 0 18 Dec 2022
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 23 9 0 15 Nov 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 35 37 0 21 Jul 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 13 33 0 27 Mar 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 258 0 10 Nov 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 620 0 21 May 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 30 137 0 29 Mar 2021
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 148 424 0 16 Apr 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 228 1,835 0 03 Feb 2017