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
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 80 0 0 23 Nov 2023
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information Zhengmian Hu Gang Wu Saayan Mitra Ruiyi Zhang Tong Sun Heng-Chiao Huang Vishy Swaminathan 104 27 0 20 Nov 2023
Improving Adversarial Transferability by Stable Diffusion Jiayang Liu Siyu Zhu Siyuan Liang Jie Zhang Han Fang Weiming Zhang Ee-Chien Chang AAML DiffM 75 12 0 18 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 93 0 0 15 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 66 0 0 14 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations Bernd Prach Christoph H. Lampert AAML FAtt 79 0 0 10 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems Jung-Woo Chang Ke Sun Nasimeh Heydaribeni Seira Hidano Xinyu Zhang F. Koushanfar AAML 99 1 0 01 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 114 56 0 31 Oct 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 66 1 0 29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 80 12 0 28 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness Soumyendu Sarkar Ashwin Ramesh Babu Sajad Mousavi Zachariah Carmichael Vineet Gundecha Sahand Ghorbanpour Ricardo Luna Antonio Guillen-Perez Avisek Naug AAML DiffM 88 5 0 28 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 127 7 0 27 Oct 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 151 14 0 26 Oct 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 91 9 0 25 Oct 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 139 5 0 24 Oct 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 90 11 0 20 Oct 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 124 6 0 19 Oct 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 110 6 0 19 Oct 2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception Yangheng Zhao Zhen Xiang Sheng Yin Xianghe Pang Siheng Chen Yanfeng Wang AAML 100 6 0 18 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 83 0 0 16 Oct 2023
Interpreting and Controlling Vision Foundation Models via Text Explanations Haozhe Chen Junfeng Yang Carl Vondrick Chengzhi Mao 93 3 0 16 Oct 2023
$Is Certifying $\ell_p$ Robustness Still Worthwhile?$ Is Certifying $\ell_p$ Robustness Still Worthwhile? Ravi Mangal Klas Leino Zifan Wang Kai Hu Weicheng Yu Corina S. Pasareanu Anupam Datta Matt Fredrikson AAML OOD 92 1 0 13 Oct 2023
Jailbreaking Black Box Large Language Models in Twenty Queries Patrick Chao Alexander Robey Yan Sun Hamed Hassani George J. Pappas Eric Wong AAML 228 713 0 12 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin Dingfan Chen Michael Backes Xiao Zhang AAML 74 0 0 12 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 53 0 0 11 Oct 2023
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations Yeong-Joon Ju Ji-Hoon Park Seong-Whan Lee AAML 53 0 0 11 Oct 2023
What do larger image classifiers memorise? Michal Lukasik Vaishnavh Nagarajan A. S. Rawat A. Menon Sanjiv Kumar 106 5 0 09 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 106 21 0 08 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 167 1 0 06 Oct 2023
Sub-token ViT Embedding via Stochastic Resonance Transformers Dong Lao Yangchao Wu Tian Yu Liu Alex Wong Stefano Soatto VOS 79 4 0 06 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 209 261 0 05 Oct 2023
Certification of Deep Learning Models for Medical Image Segmentation Othmane Laousy Alexandre Araujo G. Chassagnon Nikos Paragios M. Revel Maria Vakalopoulou MedIm 86 2 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 125 3 0 05 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 68 6 0 05 Oct 2023
Functional trustworthiness of AI systems by statistically valid testing Bernhard Nessler Thomas Doms Sepp Hochreiter 56 0 0 04 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 122 7 0 04 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 96 4 0 03 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng Zhang B. Kailkhura Sijia Liu 152 48 0 03 Oct 2023
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks Quang H. Nguyen Yingjie Lao Tung Pham Kok-Seng Wong Khoa D. Doan AAML SILM 98 1 0 01 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 158 12 0 29 Sep 2023
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre Alexandre Araujo Quentin Barthélemy A. Allauzen AAML 113 6 0 28 Sep 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML OOD 61 1 0 28 Sep 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 111 8 0 28 Sep 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 83 68 0 26 Sep 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 83 16 0 25 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 75 0 0 22 Sep 2023
It's Simplex! Disaggregating Measures to Improve Certified Robustness Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 80 3 0 20 Sep 2023
Extreme Image Transformations Facilitate Robust Latent Object Representations Girik Malik Dakarai Crowder E. Mingolla AAML 72 0 0 19 Sep 2023
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples Shakila Mahjabin Tonni Mark Dras TDI AAML GAN 76 0 0 19 Sep 2023
Reducing Adversarial Training Cost with Gradient Approximation Huihui Gong AAML 74 0 0 18 Sep 2023