v1v2 (latest)

Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

Jeremy M. Cohen

Elan Rosenfeld

J. Zico Kolter

AAML

ArXiv (abs)PDF HTML Github (390★)

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

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Title
Classification-Denoising Networks Louis Thiry Florentin Guth 89 1 0 04 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 190 10 0 04 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 146 1 0 02 Oct 2024
SMLE: Safe Machine Learning via Embedded Overapproximation Matteo Francobaldi Michele Lombardi AAML 61 0 0 30 Sep 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 94 1 0 30 Sep 2024
A Certified Robust Watermark For Large Language Models Xianheng Feng Jian Liu Kui Ren Chun Chen AAML WaLM 82 0 0 29 Sep 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good Vishal Asnani Xi Yin Xiaoming Liu AAML 153 1 0 24 Sep 2024
Certified Adversarial Robustness via Partition-based Randomized Smoothing Hossein Goli Farzan Farnia AAML 129 0 0 20 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions Samuel Leblanc Aiky Rasolomanana Marco Armenta 86 0 0 20 Sep 2024
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition Shuai Yuan Hongwei Li Xingshuo Han Guowen Xu Wenbo Jiang Tao Ni Qingchuan Zhao Yuguang Fang 88 4 0 19 Sep 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 79 1 0 18 Sep 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Yunpeng Huang Adams Kong 118 0 0 13 Sep 2024
An overview of domain-specific foundation model: key technologies, applications and challenges Haolong Chen Hanzhi Chen Zijian Zhao Kaifeng Han Guangxu Zhu Yichen Zhao Ying Du Wei Xu Qingjiang Shi ALM VLM 137 5 0 06 Sep 2024
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG Manshan Guo Bhavin Choksi Sari Saba-Sadiya A. T. Gifford Martina G. Vilas Radoslaw Martin Cichy Gemma Roig AAML 80 0 0 05 Sep 2024
A practical approach to evaluating the adversarial distance for machine learning classifiers Georg Siedel Ekagra Gupta Andrey Morozov AAML 76 0 0 05 Sep 2024
Backdoor defense, learnability and obfuscation Paul Christiano Jacob Hilton Victor Lecomte Mark Xu AAML 65 1 0 04 Sep 2024
Fisher Information guided Purification against Backdoor Attacks Nazmul Karim Abdullah Al Arafat Adnan Siraj Rakin Zhishan Guo Nazanin Rahnavard AAML 124 2 0 01 Sep 2024
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning Noor Hussein Fahad Shamshad Muzammal Naseer Karthik Nandakumar AAML 113 4 0 29 Aug 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 191 0 0 28 Aug 2024
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision Gabriel Pérez S Juan C. Pérez Motasem Alfarra Jesus Zarzar Sara Rojas Bernard Ghanem Pablo Arbeláez 3DV 47 0 0 23 Aug 2024
Revisiting Min-Max Optimization Problem in Adversarial Training Sina Hajer Ahmadi Hassan Bahrami AAML 75 0 0 20 Aug 2024
Learning Randomized Algorithms with Transformers J. Oswald Seijin Kobayashi Yassir Akram Angelika Steger AAML 98 1 0 20 Aug 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 116 6 0 20 Aug 2024
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 42 5 0 20 Aug 2024
Image Scaling Attack Simulation: A Measure of Stealth and Detectability Devon A. Kelly Sarah A. Flanery Christiana Chamon AAML 69 2 0 14 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A Black-box Server Fangyuan Zhao Yuexiang Xie Xuebin Ren Bolin Ding Shusen Yang Yaliang Li FedML AAML 116 0 0 12 Aug 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model Yuanpu Cao Lu Lin Jinghui Chen DiffM 89 1 0 09 Aug 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit Duanyi Yao Songze Li Ye Xue Jin Liu FedML AAML 82 1 0 08 Aug 2024
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis Ahod Alghureid David Mohaisen AAML 85 2 0 06 Aug 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 86 3 0 02 Aug 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs Jingtong Su Mingyu Lee SangKeun Lee 95 12 0 02 Aug 2024
Certifiably Robust Encoding Schemes Aman Saxena Tom Wollschlager Nicola Franco J. M. Lorenz Stephan Günnemann OOD AAML 82 1 0 02 Aug 2024
Discrete Randomized Smoothing Meets Quantum Computing Md. Nazmus Sakib Aman Saxena Nicola Franco Md Mashrur Arifin Stephan Günnemann AAML 81 1 0 01 Aug 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance Zhuoqun Huang Yipeng Wang Seunghee Shin Benjamin I. P. Rubinstein AAML 119 1 0 01 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 198 12 0 01 Aug 2024
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding Keming Wu Man Yao Yuhong Chou Xuerui Qiu Rui Yang Boxing Xu Guoqi Li AAML 74 4 0 29 Jul 2024
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection Steven Adams A. Patané Morteza Lahijanian Luca Laurenti BDL 98 3 0 26 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 120 2 0 26 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 108 5 0 23 Jul 2024
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models Zhuo Chen Jiawei Liu Haotan Liu Qikai Cheng Qikai Cheng Wei Lu Xiaozhong Liu AAML 84 8 0 18 Jul 2024
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness Ryo Hase Ye Wang T. Koike-Akino Jing Liu K. Parsons AAML 43 0 0 16 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam Debarghya Ghoshdastidar Stephan Günnemann AAML 125 3 0 15 Jul 2024
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models Yuchen Yang Kwonjoon Lee Behzad Dariush Yinzhi Cao Shao-Yuan Lo LRM 108 19 0 14 Jul 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off L. Halmosi Bálint Mohos Márk Jelasity AAML 78 1 0 12 Jul 2024
Refusing Safe Prompts for Multi-modal Large Language Models Zedian Shao Hongbin Liu Yuepeng Hu Neil Zhenqiang Gong MLLM LRM 94 1 0 12 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 93 3 0 11 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems Yuxin Cao Yumeng Zhu Derui Wang Sheng Wen Minhui Xue Jin Lu Hao Ge AAML 78 0 0 11 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 81 5 0 08 Jul 2024
Certifiably Robust Image Watermark Zhengyuan Jiang Moyang Guo Yuepeng Hu Jinyuan Jia Neil Zhenqiang Gong WIGM AAML 112 5 0 04 Jul 2024
Robust Adaptation of Foundation Models with Black-Box Visual Prompting Changdae Oh Gyeongdeok Seo Geunyoung Jung Zhi-Qi Cheng Hosik Choi Jiyoung Jung Kyungwoo Song VLM 162 1 0 04 Jul 2024