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
Provably Robust Conformal Prediction with Improved Efficiency Ge Yan Yaniv Romano Tsui-Wei Weng 104 16 0 30 Apr 2024
Espresso: Robust Concept Filtering in Text-to-Image Models Anudeep Das Vasisht Duddu Rui Zhang Nadarajah Asokan EGVM 117 9 0 30 Apr 2024
Certification of Speaker Recognition Models to Additive Perturbations Dmitrii Korzh Elvir Karimov Mikhail Aleksandrovich Pautov Oleg Y. Rogov Ivan Oseledets 89 3 0 29 Apr 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 81 1 0 29 Apr 2024
$Estimating the Robustness Radius for Randomized Smoothing with 100$\times$ Sample Efficiency$ Estimating the Robustness Radius for Randomized Smoothing with 100 $\times$ Sample Efficiency Emmanouil Seferis Stefanos D. Kollias Chih-Hong Cheng AAML 54 2 0 26 Apr 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 91 3 0 25 Apr 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion Markus Frey Sichu Liang Wentao Hu Matthias Nau Ju Jia Shilin Wang AAML 95 4 0 21 Apr 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing Jiabao Ji Bairu Hou Zhen Zhang Guanhua Zhang Wenqi Fan Qing Li Yang Zhang Gaowen Liu Sijia Liu Shiyu Chang AAML 80 8 0 18 Apr 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors Raz Lapid Almog Dubin Moshe Sipper AAML 68 4 0 18 Apr 2024
Do Counterfactual Examples Complicate Adversarial Training? Eric C. Yeats Cameron Darwin Eduardo Ortega Frank Liu Hai Li DiffM 139 0 0 16 Apr 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia Yu Yi Xudong Jiang Henghui Ding 128 10 0 15 Apr 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models Peifei Zhu Tsubasa Takahashi Hirokatsu Kataoka WIGM 92 16 0 15 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 95 1 0 12 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 95 1 0 11 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 99 0 0 08 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 95 7 0 08 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 125 8 0 01 Apr 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 98 0 0 29 Mar 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models Yanting Wang Hongye Fu Wei Zou Jinyuan Jia AAML 80 2 0 28 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 149 33 0 20 Mar 2024
Certified Human Trajectory Prediction Mohammadhossein Bahari Saeed Saadatnejad Amirhossein Asgari-Farsangi Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi AAML 137 1 0 20 Mar 2024
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model Yuxin Cao Jinghao Li Xi Xiao Derui Wang Minhui Xue Hao Ge Wei Liu Guangwu Hu AAML 92 1 0 18 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 93 4 0 18 Mar 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang Nezihe Merve Gürel Linyi Li Yue Liu 95 5 0 17 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 183 8 0 15 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 84 7 0 05 Mar 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks Zijian Huang Wenda Chu Linyi Li Chejian Xu Yue Liu AAML 102 0 0 04 Mar 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 82 2 0 04 Mar 2024
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes Hiroaki Maeshima Akira Otsuka AAML 81 0 0 04 Mar 2024
Collective Certified Robustness against Graph Injection Attacks Y. Lai Bailin Pan Kaihuang Chen Yancheng Yuan Kai Zhou AAML 93 2 0 03 Mar 2024
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes Xiaomeng Hu Pin-Yu Chen Tsung-Yi Ho AAML 73 32 0 01 Mar 2024
Model X-ray:Detect Backdoored Models via Decision Boundary Yanghao Su Jie Zhang Ting Xu Tianwei Zhang Weiming Zhang Neng H. Yu AAML 166 0 0 27 Feb 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 183 3 0 27 Feb 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions Yuan Zhang Xiao Wang Zhiheng Xi Han Xia Tao Gui Qi Zhang Xuanjing Huang 95 4 0 26 Feb 2024
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu Tianyang Hu Wei Cao Kenji Kawaguchi Yuan Yao DiffM 135 3 0 26 Feb 2024
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing Jiabao Ji Bairu Hou Alexander Robey George J. Pappas Hamed Hassani Yang Zhang Eric Wong Shiyu Chang AAML 116 51 0 25 Feb 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese Marco Romanelli Pablo Piantanida AAML 94 0 0 24 Feb 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Hidde Lycklama Alexander Viand Nicolas Küchler Christian Knabenhans Anwar Hithnawi 123 7 0 24 Feb 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation Yi Zhang Yun Tang Wenjie Ruan Xiaowei Huang Siddartha Khastgir P. Jennings Xingyu Zhao AAML 82 4 0 23 Feb 2024
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing Daniel Gibert Giulio Zizzo Quan Le Jordi Planes AAML 93 4 0 23 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 132 15 0 23 Feb 2024
Verifiable Boosted Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Giulio Ermanno Pibiri AAML 89 0 0 22 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 103 0 0 22 Feb 2024
Verifying message-passing neural networks via topology-based bounds tightening Christopher Hojny Shiqiang Zhang Juan S. Campos Ruth Misener AAML 118 7 0 21 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 146 5 0 19 Feb 2024
Endowing Pre-trained Graph Models with Provable Fairness Zhongjian Zhang Mengmei Zhang Yue Yu Cheng Yang Jiawei Liu Chuan Shi 57 9 0 19 Feb 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei Karthikeyan N. Ramamurthy FAtt 99 3 0 17 Feb 2024
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks Jun-Jie Zhang Deyu Meng AAML 83 3 0 16 Feb 2024