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"

50 / 1,326 papers shown

Title
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness Wenchuan Mu Kwan Hui Lim AAML 0 1 0 26 Aug 2025
Adversarial Examples Are Not Bugs, They Are Superposition Liv Gorton Owen Lewis AAML 12 0 0 24 Aug 2025
Convergence and Generalization of Anti-Regularization for Parametric Models Dongseok Kim Wonjun Jeong Gisung Oh 20 0 0 24 Aug 2025
Adversarial Robustness in Distributed Quantum Machine Learning Pouya Kananian Hans-Arno Jacobsen OOD AAML 28 0 0 16 Aug 2025
Certifiably robust malware detectors by design Pierre-Francois Gimenez S. Sivaprasad Mario Fritz AAML 23 0 0 10 Aug 2025
FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment E. Shumitskaya D. Vatolin Anastasia Antsiferova AAML 16 0 0 07 Aug 2025
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation Hayat Ullah Syed Muhammad Talha Zaidi Arslan Munir AAML 35 0 0 28 Jul 2025
Disrupting Semantic and Abstract Features for Better Adversarial Transferability Yuyang Luo Xiaosen Wang Zhijin Ge Yingzhe He AAML 42 0 0 21 Jul 2025
When and Where do Data Poisons Attack Textual Inversion? Jeremy A. Styborski Mingzhi Lyu Jiayou Lu Nupur Kapur A. Kong DiffM AAML 105 0 0 11 Jul 2025
DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective Shuo Shao Yiming Li Mengren Zheng Zhiyang Hu Yukun Chen Boheng Li Y. He Junfeng Guo D. Tao Zhan Qin AAML 50 3 0 08 Jul 2025
One Sample is Enough to Make Conformal Prediction Robust Soroush H. Zargarbashi Mohammad Sadegh Akhondzadeh Aleksandar Bojchevski 67 0 0 19 Jun 2025
Pixel-level Certified Explanations via Randomized Smoothing Alaa Anani Tobias Lorenz Mario Fritz Bernt Schiele FAtt AAML 115 0 0 18 Jun 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 83 0 0 16 Jun 2025
CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction Ting Qiao Yiming Li Jianbin Li Yingjia Wang Leyi Qi Junfeng Guo Ruili Feng Dacheng Tao AAML 82 0 0 16 Jun 2025
A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks Junhua Lin Marc Juarez 174 0 0 12 Jun 2025
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification Ryota Ueda Takami Sato Ken Kobayashi Kazuhide Nakata AAML 148 0 0 12 Jun 2025
AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent Jing Liu T. Koike-Akino Ye Wang Hassan Mansour Matthew Brand MQ 126 0 0 11 Jun 2025
One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World Xingshuo Han Chen Ling Shiyi Yao Haozhao Wang Hangcheng Liu Yutong Wu Shengmin Xu Changhai Ou Xinyi Huang Tianwei Zhang AAML 59 0 0 10 Jun 2025
Identifying and Understanding Cross-Class Features in Adversarial Training Zeming Wei Yiwen Guo Yisen Wang AAML 149 0 0 05 Jun 2025
Towards Better Generalization via Distributional Input Projection Network Yifan Hao Yanxin Lu Xinwei Shen Tong Zhang 143 0 0 05 Jun 2025
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks Thomas Massena Léo Andéol Thibaut Boissin Franck Mamalet Corentin Friedrich M. Serrurier Sébastien Gerchinovitz AAML 111 2 0 05 Jun 2025
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning Yanjun Fu Faisal Hamman Sanghamitra Dutta ALM 126 0 0 02 Jun 2025
PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches Dennis Jacob Chong Xiang Prateek Mittal AAML 61 0 0 30 May 2025
Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition Weizhe Kong Xiao Wang Ruichong Gao Chenglong Li Yu Zhang Xing Yang Yaowei Wang Jin Tang AAML 120 0 0 29 May 2025
How Do Diffusion Models Improve Adversarial Robustness? Liu Yuezhang Xue-Xin Wei 324 0 0 28 May 2025
Attention! You Vision Language Model Could Be Maliciously Manipulated Xiaosen Wang Shaokang Wang Zhijin Ge Yuyang Luo Shudong Zhang AAML VLM 90 0 0 26 May 2025
Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation Peiran Sun AAML 106 0 0 25 May 2025
Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise Lucas Tecot Di Luo Cho-Jui Hsieh 108 0 0 24 May 2025
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders Borna Khodabandeh Amirabbas Afzali Amirhossein Afsharrad Seyed Shahabeddin Mousavi Sanjay Lall Sajjad Amini Seyed-Mohsen Moosavi-Dezfooli AAML 90 0 0 24 May 2025
Adversarial Robustness of Nonparametric Regression Parsa Moradi Hanzaleh Akabrinodehi M. Maddah-ali AAML 119 0 0 23 May 2025
Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives Huanran Chen Yinpeng Dong Zeming Wei Yao Huang Yichi Zhang Hang Su Jun Zhu MoMe 122 3 0 23 May 2025
Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off Yury Belousov Brian Pulfer Vitaliy Kinakh Slava Voloshynovskiy DiffM 88 0 0 21 May 2025
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss Bo-Han Lai Pin-Han Huang Bo-Han Kung Shang-Tse Chen 97 0 0 21 May 2025
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency Bo Yang Hengwei Zhang Jindong Wang Yuchen Ren Chenhao Lin Chao Shen Subrat Kishore Dutta AAML 137 0 0 19 May 2025
A Formally Verified Robustness Certifier for Neural Networks (Extended Version) James Tobler Hira Taqdees Syeda Toby Murray AAML 89 0 0 11 May 2025
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation J. Schumann Jeroen Hagenus Frederik Baymler Mathiesen Arkady Zgonnikov AAML 125 0 0 09 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models Kai Hu Weichen Yu Guang Dai Alexander Robey Andy Zou Chengming Xu Haoqi Hu Matt Fredrikson AAML VLM 175 2 0 02 May 2025
On the Importance of Gaussianizing Representations Daniel Eftekhari Vardan Papyan 149 0 0 01 May 2025
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Longji Xu Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 183 0 0 30 Apr 2025
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning Greg Gluch Shafi Goldwasser AAML 203 0 0 28 Apr 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vlad Vasilescu Ana Neacsu Daniela Faur ViT 120 0 0 24 Apr 2025
Statistical Runtime Verification for LLMs via Robustness Estimation Natan Levy Adiel Ashrov Guy Katz AAML 152 0 0 24 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 228 3 0 18 Apr 2025
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models Linkang Du Zheng Zhu M. Chen Zhou Su S. Ji Peng Cheng Jiming Chen Zhikun Zhang DiffM WIGM MLAU 213 1 0 17 Apr 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 467 0 0 16 Apr 2025
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks Omar Montasser Abhishek Shetty Nikita Zhivotovskiy 131 0 0 14 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 132 1 0 11 Apr 2025
On the Robustness of GUI Grounding Models Against Image Attacks Haoren Zhao Tianyi Chen Zhen Wang AAML 169 6 0 07 Apr 2025
Frontier AI's Impact on the Cybersecurity Landscape Wenbo Guo Yujin Potter Tianneng Shi Zhun Wang Andy Zhang Dawn Song 172 9 0 07 Apr 2025
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study Aryan Agrawal Lisa Alazraki Shahin Honarvar Marek Rei 181 3 0 03 Apr 2025