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Certified Robustness to Adversarial Examples with Differential Privacy

9 February 2018

Papers citing "Certified Robustness to Adversarial Examples with Differential Privacy"

50 / 567 papers shown

Title
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors Ruihan Zhang Jun Sun AAML 76 3 0 19 May 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing Aref Miri Rekavandi Olga Ohrimenko Benjamin I. P. Rubinstein AAML 71 1 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 71 2 0 10 May 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning Xiaoyang Xu Mengda Yang Wenzhe Yi Ziang Li Juan Wang Hongxin Hu Yong Zhuang Yaxin Liu AAML 63 4 0 07 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 69 7 0 01 May 2024
PackVFL: Efficient HE Packing for Vertical Federated Learning Liu Yang Shuowei Cai Di Chai Junxue Zhang Han Tian Yilun Jin Kun Guo Kai Chen Qiang Yang FedML 65 1 0 01 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 101 3 0 01 May 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning David Winderl Nicola Franco J. M. Lorenz AAML 69 3 0 25 Apr 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors Raz Lapid Almog Dubin Moshe Sipper AAML 66 4 0 18 Apr 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia Yu Yi Xudong Jiang Henghui Ding 124 10 0 15 Apr 2024
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning Tanveer Khan Mindaugas Budzys A. Michalas 62 4 0 14 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
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 89 1 0 11 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 87 0 0 08 Apr 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models Yanting Wang Hongye Fu Wei Zou Jinyuan Jia AAML 49 2 0 28 Mar 2024
Provable Privacy with Non-Private Pre-Processing Yaxian Hu Amartya Sanyal Bernhard Schölkopf 65 2 0 19 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 83 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
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing Alaa Anani Tobias Lorenz Bernt Schiele Mario Fritz 58 1 0 13 Feb 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 119 0 0 12 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 162 0 0 08 Feb 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons Zhenyu Liu Garrett Gagnon Swagath Venkataramani Liu Liu AAML 72 0 0 06 Feb 2024
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models Fei Yuan Chang Ma Shuai Yuan Qiushi Sun Lei Li 63 3 0 05 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 78 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
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 128 20 0 02 Feb 2024
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers Orson Mengara AAML 86 4 0 03 Jan 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 88 2 0 19 Dec 2023
The Pros and Cons of Adversarial Robustness Yacine Izza Sasha Rubin AAML 50 1 0 18 Dec 2023
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 50 1 0 14 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 38 0 0 12 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 74 5 0 11 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 67 7 0 09 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 164 2 0 07 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 87 7 0 07 Dec 2023
Mendata: A Framework to Purify Manipulated Training Data Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter 59 0 0 03 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 102 24 0 27 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 130 11 0 26 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 77 0 0 15 Nov 2023
Verification of Neural Networks Local Differential Classification Privacy Roie Reshef Anan Kabaha Olga Seleznova Dana Drachsler-Cohen AAML 74 2 0 31 Oct 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 146 14 0 26 Oct 2023
Multi-scale Diffusion Denoised Smoothing Jongheon Jeong Jinwoo Shin DiffM 91 9 0 25 Oct 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 129 5 0 24 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 122 6 0 19 Oct 2023
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 241 164 0 16 Oct 2023
Jailbreaking Black Box Large Language Models in Twenty Queries Patrick Chao Alexander Robey Yan Sun Hamed Hassani George J. Pappas Eric Wong AAML 187 712 0 12 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin Dingfan Chen Michael Backes Xiao Zhang AAML 72 0 0 12 Oct 2023
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 46 0 0 11 Oct 2023
NetShaper: A Differentially Private Network Side-Channel Mitigation System Amir Sabzi Rut Vora Swati Goswami Margo Seltzer Mathias Lécuyer Aastha Mehta 23 2 0 10 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 202 260 0 05 Oct 2023