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
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors Jiachen Sun Changsheng Wang Jiong Wang Yiwei Zhang Chaowei Xiao AAML VLM 104 8 0 17 May 2024
Relational DNN Verification With Cross Executional Bound Refinement Debangshu Banerjee Gagandeep Singh AAML 100 7 0 16 May 2024
Cross-Input Certified Training for Universal Perturbations Changming Xu Gagandeep Singh AAML 92 2 0 15 May 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing Aref Miri Rekavandi Olga Ohrimenko Benjamin I. P. Rubinstein AAML 107 2 0 14 May 2024
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretation Boqi Chen Kristóf Marussy Oszkár Semeráth Gunter Mussbacher Dániel Varró AAML 193 0 0 14 May 2024
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models Raghuveer Peri Sai Muralidhar Jayanthi S. Ronanki Anshu Bhatia Karel Mundnich ... Srikanth Vishnubhotla Daniel Garcia-Romero S. Srinivasan Kyu J. Han Katrin Kirchhoff AAML 106 4 0 14 May 2024
$Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions$ Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions Fan Wang Adams Wai-Kin Kong 125 2 0 10 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 110 0 0 10 May 2024
Verified Neural Compressed Sensing Rudy Bunel Dj Dvijotham M. P. Kumar Alessandro De Palma Robert Stanforth MLT 147 2 0 07 May 2024
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management Ravikumar Balakrishnan Marius Arvinte N. Himayat Hosein Nikopour Hassnaa Moustafa AAML 75 3 0 06 May 2024
Differentially Private Synthetic Data with Private Density Estimation Nikolija Bojkovic Po-Ling Loh SyDa 92 0 0 06 May 2024
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing Daniel Gibert Christian Scano Giulio Zizzo Quan Le Jordi Planes Battista Biggio AAML 121 3 0 01 May 2024
Provably Robust Conformal Prediction with Improved Efficiency Ge Yan Yaniv Romano Tsui-Wei Weng 292 17 0 30 Apr 2024
Espresso: Robust Concept Filtering in Text-to-Image Models Anudeep Das Vasisht Duddu Rui Zhang Nadarajah Asokan EGVM 174 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 105 4 0 29 Apr 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 93 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 95 2 0 26 Apr 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 128 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 116 8 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 102 11 0 18 Apr 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors Raz Lapid Almog Dubin Moshe Sipper AAML 92 4 0 18 Apr 2024
Do Counterfactual Examples Complicate Adversarial Training? Eric C. Yeats Cameron Darwin Eduardo Ortega Frank Liu Hai Li DiffM 166 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 220 10 0 15 Apr 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models Peifei Zhu Tsubasa Takahashi Hirokatsu Kataoka WIGM 134 22 0 15 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 107 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 161 4 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 103 2 0 11 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 121 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 123 9 0 08 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 165 11 0 01 Apr 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 110 0 0 29 Mar 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models Yanting Wang Hongye Fu Wei Zou Jinyuan Jia AAML 126 2 0 28 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 109 1 0 23 Mar 2024
Certified Human Trajectory Prediction Mohammadhossein Bahari Saeed Saadatnejad Amirhossein Asgari-Farsangi Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi AAML 163 2 0 20 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 226 38 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 125 1 0 18 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 125 2 0 18 Mar 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang Nezihe Merve Gürel Linyi Li Yue Liu 115 7 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 251 12 0 15 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 106 10 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 116 0 0 04 Mar 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 102 2 0 04 Mar 2024
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes Hiroaki Maeshima Akira Otsuka AAML 89 0 0 04 Mar 2024
Collective Certified Robustness against Graph Injection Attacks Y. Lai Bailin Pan Kaihuang Chen Yancheng Yuan Wei Song AAML 117 3 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 85 38 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 186 3 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 Subrat Kishore Dutta SILM AAML 236 6 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 Tao Gui Xuanjing Huang 105 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 143 3 0 26 Feb 2024
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection Leonid Boytsov Ameya Joshi Filipe Condessa AAML 94 0 0 26 Feb 2024