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
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study Aryan Agrawal Lisa Alazraki Shahin Honarvar Marek Rei 181 3 0 03 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 125 0 0 02 Apr 2025
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks Y. Lai Yulin Zhu Yizhou Sun Yongpeng Wu Bin Xiao Gaolei Li Jianhua Li Kai Zhou AAML 151 0 0 29 Mar 2025
Prototype Guided Backdoor Defense Venkat Adithya Amula Sunayana Samavedam Saurabh Saini Avani Gupta Narayanan P J AAML 104 1 0 26 Mar 2025
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Meng Hu Rihao Li Wenhui Wu Yuheng Jia AAML 162 0 0 26 Mar 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 119 1 0 25 Mar 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 112 0 0 21 Mar 2025
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration Suraj Singh Anastasia Batsheva Oleg Y. Rogov Ahmed Bouridane 99 0 0 20 Mar 2025
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix Junbiao Pang Tianyang Cai 165 1 0 14 Mar 2025
Provenance Detection for AI-Generated Images: Combining Perceptual Hashing, Homomorphic Encryption, and AI Detection Models Shree Singhi Aayan Yadav Aayush Gupta Shariar Ebrahimi Parisa Hassanizadeh 123 2 0 14 Mar 2025
Enhancing Adversarial Example Detection Through Model Explanation Qian Ma Ziping Ye AAML 136 0 0 12 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 152 3 0 12 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 293 3 0 10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 653 0 0 09 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 186 0 0 08 Mar 2025
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models Xiangyu Yin Jiaxu Liu Zhen Chen Jinwei Hu Yi Dong Xiaowei Huang Wenjie Ruan AAML 159 0 0 08 Mar 2025
Robust Conformal Prediction with a Single Binary Certificate Soroush H. Zargarbashi Aleksandar Bojchevski 134 2 0 07 Mar 2025
Generalizable Image Repair for Robust Visual Control Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 128 0 0 07 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 126 1 0 02 Mar 2025
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks Hanjiang Hu Alexander Robey Changliu Liu AAML LLMSV 156 4 0 28 Feb 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Siyang Song 323 2 0 26 Feb 2025
Compute Or Load KV Cache? Why Not Both? Shuowei Jin Xueshen Liu Qingzhao Zhang Z. Morley Mao 87 12 0 24 Feb 2025
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang Zhiyu Zhu Xinyi Wang Silin Liao Zhibo Jin Flora Salim Huaming Chen GAN 188 0 0 16 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 160 1 0 13 Feb 2025
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities Chashi Mahiul Islam Samuel Jacob Chacko Preston Horne Xiuwen Liu 230 3 0 11 Feb 2025
Adversarial Machine Learning: Attacks, Defenses, and Open Challenges Pranav K Jha AAML 118 0 0 08 Feb 2025
Adapting to Evolving Adversaries with Regularized Continual Robust Training Sihui Dai Christian Cianfarani A. Bhagoji Vikash Sehwag Prateek Mittal OOD AAML 125 0 0 06 Feb 2025
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies Basavasagar Patil Akansha Kalra Guanhong Tao Daniel S. Brown AAML 139 0 0 06 Feb 2025
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate Javier Rando Jie Zhang Nicholas Carlini F. Tramèr AAML ELM 175 13 0 04 Feb 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification Jiate Li Binghui Wang AAML 177 2 0 02 Feb 2025
Trading Inference-Time Compute for Adversarial Robustness Wojciech Zaremba Evgenia Nitishinskaya Boaz Barak Stephanie Lin Sam Toyer ... Rachel Dias Eric Wallace Kai Y. Xiao Johannes Heidecke Amelia Glaese LRM AAML 212 38 0 31 Jan 2025
Smoothed Embeddings for Robust Language Models Ryo Hase Md Rafi Ur Rashid Ashley Lewis Jing Liu T. Koike-Akino K. Parsons Yanjie Wang AAML 158 3 0 27 Jan 2025
Robust Representation Consistency Model via Contrastive Denoising Jiachen Lei Julius Berner Jiongxiao Wang Zhongzhu Chen Zhongjia Ba Kui Ren Jun Zhu Julius Berner DiffM 210 0 0 22 Jan 2025
Enhancing Adversarial Transferability via Component-Wise Transformation Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang Donglin Wang AAML 125 0 0 21 Jan 2025
Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning Y. Sagduyu T. Erpek AAML 93 0 0 31 Dec 2024
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning Longwei Wang Navid Nayyem Abdullah Rakin AAML 86 1 0 27 Dec 2024
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Shalini Saini Anitha Chennamaneni Babatunde Sawyerr AAML 146 2 0 18 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval Tingwei Zhang Fnu Suya Rishi Jha Collin Zhang Vitaly Shmatikov AAML 310 1 0 18 Dec 2024
Does VLM Classification Benefit from LLM Description Semantics? Pingchuan Ma Lennart Rietdorf Dmytro Kotovenko Vincent Tao Hu Bjorn Ommer VLM 206 1 0 16 Dec 2024
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 200 0 0 15 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 205 0 0 04 Dec 2024
RED: Robust Environmental Design Jinghan Yan AAML 151 0 0 26 Nov 2024
AI-generated Image Detection: Passive or Watermark? Moyang Guo Yuepeng Hu Zhengyuan Jiang Zeyu Li Amir Sadovnik Arka Daw Neil Zhenqiang Gong 265 2 0 20 Nov 2024
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Ruotong Wang Mingli Zhu Zihao Zhu Baoyuan Wu AAML 196 2 0 18 Nov 2024
Oblivious Defense in ML Models: Backdoor Removal without Detection S. Goldwasser Jonathan Shafer Neekon Vafa Vinod Vaikuntanathan AAML 80 2 0 05 Nov 2024
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 242 1 0 04 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 119 1 0 03 Nov 2024
A Coverage-Guided Testing Framework for Quantum Neural Networks Minqi Shao Jianjun Zhao AAML 141 2 0 03 Nov 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 109 0 0 01 Nov 2024
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models Jonggyu Jang Hyeonsu Lyu Jungyeon Koh H. Yang VLM AAML 95 0 0 01 Nov 2024