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
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM Bochuan Cao Yu Cao Lu Lin Jinghui Chen AAML 115 153 0 18 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 58 4 0 12 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis And Yves Le Traon 53 1 0 11 Sep 2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability Guanhao Gan Yiming Li Dongxian Wu Shu-Tao Xia AAML 67 13 0 09 Sep 2023
How adversarial attacks can disrupt seemingly stable accurate classifiers Oliver J. Sutton Qinghua Zhou I. Tyukin Alexander N. Gorban Alexander Bastounis D. Higham AAML 87 1 0 07 Sep 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 182 197 0 06 Sep 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings AprilPyone Maungmaung Isao Echizen Hitoshi Kiya AAML 72 2 0 04 Sep 2023
Open Sesame! Universal Black Box Jailbreaking of Large Language Models Raz Lapid Ron Langberg Moshe Sipper AAML 144 112 0 04 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 70 0 0 02 Sep 2023
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models Changyu Liu Yuling Jiao Junhui Wang Jian Huang AAML 64 2 0 02 Sep 2023
Image Hijacks: Adversarial Images can Control Generative Models at Runtime Luke Bailey Euan Ong Stuart J. Russell Scott Emmons VLM MLLM 123 89 0 01 Sep 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks Arezoo Rajabi Surudhi Asokraj Feng-Shr Jiang Luyao Niu Bhaskar Ramasubramanian J. Ritcey Radha Poovendran AAML 70 1 0 30 Aug 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing Jiawei Zhang Zhongzhu Chen Huan Zhang Chaowei Xiao Yue Liu DiffM 84 26 0 28 Aug 2023
Detecting Language Model Attacks with Perplexity Gabriel Alon Michael Kamfonas AAML 191 230 0 27 Aug 2023
Brain-like representational straightening of natural movies in robust feedforward neural networks Tahereh Toosi Elias B. Issa 68 5 0 26 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 107 19 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 117 44 0 20 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 94 0 0 17 Aug 2023
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing Daniel Gibert Giulio Zizzo Quan Le AAML 61 5 0 17 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 82 6 0 15 Aug 2023
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient Zhengzhi Lu He Wang Ziyi Chang Guoan Yang Hubert P. H. Shum AAML 98 10 0 10 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation Meng Wei Charlie Budd Luis C. Garcia-Peraza-Herrera Reuben Dorent Miaojing Shi Tom Vercauteren 76 5 0 09 Aug 2023
Fixed Inter-Neuron Covariability Induces Adversarial Robustness Muhammad Ahmed Shah Bhiksha Raj AAML 40 0 0 07 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 71 6 0 07 Aug 2023
URET: Universal Robustness Evaluation Toolkit (for Evasion) Kevin Eykholt Taesung Lee D. Schales Jiyong Jang Ian Molloy Masha Zorin AAML 135 7 0 03 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi Jikang Cheng MLT NoLa 70 2 0 03 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks Muhammad Ahmed Shah Bhiksha Raj AAML 81 4 0 01 Aug 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning Kaijie Zhu Jindong Wang Xixu Hu Xingxu Xie G. Yang AAML 76 25 0 01 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 108 4 0 31 Jul 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks Xinyu Zhang Hanbin Hong Yuan Hong Peng Huang Binghui Wang Zhongjie Ba Kui Ren SILM 142 25 0 31 Jul 2023
Universal and Transferable Adversarial Attacks on Aligned Language Models Andy Zou Zifan Wang Nicholas Carlini Milad Nasr J. Zico Kolter Matt Fredrikson 413 1,538 0 27 Jul 2023
Characterizing Data Point Vulnerability via Average-Case Robustness Tessa Han Suraj Srinivas Himabindu Lakkaraju AAML OOD 118 1 0 26 Jul 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering Anselm Krainovic Mahdi Soltanolkotabi Reinhard Heckel OOD 62 7 0 24 Jul 2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models Xuelong Dai Kaisheng Liang Bin Xiao DiffM 139 30 0 24 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei 62 8 0 21 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 78 2 0 21 Jul 2023
A LLM Assisted Exploitation of AI-Guardian Nicholas Carlini ELM SILM 54 18 0 20 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 111 28 0 20 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition Umberto Michieli Mete Ozay 95 9 0 19 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 90 3 0 17 Jul 2023
Certified Robustness for Large Language Models with Self-Denoising Zhen Zhang Guanhua Zhang Bairu Hou Wenqi Fan Qing Li Sijia Liu Yang Zhang Shiyu Chang 114 22 0 14 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue Rajeev Alur Eric Wong 136 6 0 12 Jul 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations Hassan Ali Adnan Qayyum Ala I. Al-Fuqaha Junaid Qadir AAML 117 3 0 11 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 72 0 0 07 Jul 2023
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues 68 4 0 30 Jun 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Huiming Sun Lan Fu Jinlong Li Qing Guo Zibo Meng Tianyun Zhang Yuewei Lin Hongkai Yu AAML 97 10 0 30 Jun 2023
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 101 1 0 29 Jun 2023
CLIPAG: Towards Generator-Free Text-to-Image Generation Roy Ganz Michael Elad VLM 82 9 0 29 Jun 2023
Towards Optimal Randomized Strategies in Adversarial Example Game Jiahao Xie Chao Zhang Weijie Liu Wensong Bai Hui Qian AAML 60 0 0 29 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 103 1 0 29 Jun 2023