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
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing Alaa Anani Tobias Lorenz Bernt Schiele Mario Fritz 58 1 0 13 Feb 2024
Improving Black-box Robustness with In-Context Rewriting Kyle O'Brien Nathan Ng Isha Puri Jorge Mendez Hamid Palangi Yoon Kim Marzyeh Ghassemi Tom Hartvigsen 115 7 0 13 Feb 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 134 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 96 6 0 11 Feb 2024
Quantifying and Enhancing Multi-modal Robustness with Modality Preference Zequn Yang Yake Wei Ce Liang Di Hu AAML 90 10 0 09 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 166 0 0 08 Feb 2024
Adversarial Robustness Through Artifact Design Tsufit Shua Mahmood Sharif AAML 82 0 0 07 Feb 2024
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Mantas Mazeika Long Phan Xuwang Yin Andy Zou Zifan Wang ... Nathaniel Li Steven Basart Bo Li David A. Forsyth Dan Hendrycks AAML 125 421 0 06 Feb 2024
Disparate Impact on Group Accuracy of Linearization for Private Inference Saswat Das Marco Romanelli Ferdinando Fioretto FedML 73 4 0 06 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection Enyan Dai Min Lin Suhang Wang 88 3 0 06 Feb 2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Ziquan Liu Zhuo Zhi Ilija Bogunovic Carsten Gerner-Beuerle Miguel R. D. Rodrigues AAML 84 0 0 04 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 98 16 0 04 Feb 2024
Building Guardrails for Large Language Models Yizhen Dong Ronghui Mu Gao Jin Yi Qi Jinwei Hu Xingyu Zhao Jie Meng Wenjie Ruan Xiaowei Huang OffRL 153 32 0 02 Feb 2024
An Information Theoretic Approach to Machine Unlearning Jack Foster Kyle Fogarty Stefan Schoepf Cengiz Öztireli Alexandra Brintrup MU 103 6 0 02 Feb 2024
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization Arezoo Rajabi Reeya Pimple Aiswarya Janardhanan Surudhi Asokraj Bhaskar Ramasubramanian Radha Poovendran 83 0 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 135 20 0 02 Feb 2024
Security and Privacy Challenges of Large Language Models: A Survey B. Das M. H. Amini Yanzhao Wu PILM ELM 143 147 0 30 Jan 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 127 15 0 29 Jan 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees Xun Xian Ganghua Wang Xuan Bi Jayanth Srinivasa Ashish Kundu Mingyi Hong Jie Ding WIGM 58 5 0 23 Jan 2024
WARM: On the Benefits of Weight Averaged Reward Models Alexandre Ramé Nino Vieillard Léonard Hussenot Robert Dadashi Geoffrey Cideron Olivier Bachem Johan Ferret 204 104 0 22 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Xiang Li Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 124 4 0 19 Jan 2024
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 74 9 0 15 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 160 1 0 12 Jan 2024
DEM: A Method for Certifying Deep Neural Network Classifier Outputs in Aerospace Guy Katz Natan Levy Idan Refaeli Raz Yerushalmi AAML 55 1 0 04 Jan 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 107 2 0 19 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 79 2 0 18 Dec 2023
The Pros and Cons of Adversarial Robustness Yacine Izza Sasha Rubin AAML 57 1 0 18 Dec 2023
Adversarial Robustness on Image Classification with $k$ -means Rollin Omari Junae Kim Paul Montague OOD VLM 56 0 0 15 Dec 2023
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 55 1 0 14 Dec 2023
Robust MRI Reconstruction by Smoothed Unrolling (SMUG) Shijun Liang Van Hoang Minh Nguyen Jinghan Jia Ismail Alkhouri Sijia Liu S. Ravishankar 77 1 0 12 Dec 2023
May the Noise be with you: Adversarial Training without Adversarial Examples Ayoub Arous A. F. López-Lopera Nael B. Abu-Ghazaleh Ihsen Alouani AAML OOD 45 0 0 12 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 77 0 0 12 Dec 2023
Adversarial Estimation of Topological Dimension with Harmonic Score Maps Eric C. Yeats Cameron Darwin Frank Liu Hai Li 109 2 0 11 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 96 5 0 11 Dec 2023
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting Huming Qiu Junjie Sun Mi Zhang Xudong Pan Min Yang AAML 118 4 0 08 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 91 7 0 07 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 112 2 0 06 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 65 0 0 05 Dec 2023
Universal Backdoor Attacks Benjamin Schneider Nils Lukas Florian Kerschbaum SILM 96 4 0 30 Nov 2023
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training Saurabh Farkya Aswin Raghavan Avi Ziskind 75 0 0 30 Nov 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 86 5 0 30 Nov 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 91 9 0 29 Nov 2023
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention Lujia Shen Yuwen Pu Shouling Ji Changjiang Li Xuhong Zhang Chunpeng Ge Ting Wang AAML 83 6 0 29 Nov 2023
STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers Daqian Shao Lukas Fesser Marta Z. Kwiatkowska 72 0 0 28 Nov 2023
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness Bernd Prach Fabio Brau Giorgio Buttazzo Christoph H. Lampert 91 8 0 28 Nov 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 66 0 0 28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 74 2 0 28 Nov 2023
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs Zheyuan Hu Zhouhao Yang Yezhen Wang George Karniadakis Kenji Kawaguchi 134 11 0 26 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 96 2 0 26 Nov 2023
Federated Transformed Learning for a Circular, Secure, and Tiny AI Weisi Guo S. Sun Bin Li Sam Blakeman 63 0 0 24 Nov 2023