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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
Pixel-level Certified Explanations via Randomized Smoothing Alaa Anani Tobias Lorenz Mario Fritz Bernt Schiele FAtt AAML 51 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 31 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 31 0 0 16 Jun 2025
Towards Better Generalization via Distributional Input Projection Network Yifan Hao Yanxin Lu Xinwei Shen Tong Zhang 104 0 0 05 Jun 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein OffRL AAML 46 1 0 27 May 2025
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression Tong Cheng Fu Jie Xinpeng Ling Huifa Li Zhili Chen AAML FedML 67 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 70 0 0 21 May 2025
A Formally Verified Robustness Certifier for Neural Networks (Extended Version) James Tobler Hira Taqdees Syeda Toby Murray AAML 64 0 0 11 May 2025
Edge-Based Learning for Improved Classification Under Adversarial Noise Manish Kansana Keyan Alexander Rahimi Elias Hossain Iman Dehzangi Noorbakhsh Amiri Golilarz AAML 65 0 0 25 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 93 0 0 11 Apr 2025
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 157 0 0 03 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 123 0 0 29 Mar 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 77 0 0 21 Mar 2025
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix Junbiao Pang Tianyang Cai 132 1 0 14 Mar 2025
Enhancing Adversarial Example Detection Through Model Explanation Qian Ma Ziping Ye AAML 100 0 0 12 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 93 0 0 08 Mar 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 132 0 0 05 Mar 2025
Compute Or Load KV Cache? Why Not Both? Shuowei Jin Xueshen Liu Qingzhao Zhang Z. Morley Mao 71 9 0 24 Feb 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification Jiate Li Binghui Wang AAML 134 2 0 02 Feb 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 116 2 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 Anima Anandkumar DiffM 158 0 0 22 Jan 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models Martin Pawelczyk Lillian Sun Zhenting Qi Aounon Kumar Himabindu Lakkaraju 162 3 0 03 Jan 2025
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 157 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 167 0 0 04 Dec 2024
RED: Robust Environmental Design Jinghan Yan AAML 105 0 0 26 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 63 1 0 03 Nov 2024
Noise as a Double-Edged Sword: Reinforcement Learning Exploits Randomized Defenses in Neural Networks Steve Bakos Pooria Madani Heidar Davoudi AAML 78 0 0 31 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD Dmitrii Avdiukhin Michael Dinitz Chenglin Fan G. Yaroslavtsev 72 1 0 09 Oct 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing Chenhao Sun Yuhao Mao Mark Niklas Muller Martin Vechev AAML 116 0 0 09 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 74 0 0 07 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 87 1 0 04 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 186 10 0 04 Oct 2024
A Certified Robust Watermark For Large Language Models Xianheng Feng Jian Liu Kui Ren Chun Chen AAML WaLM 77 0 0 29 Sep 2024
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks Yu He Boheng Li Yao Wang Mengda Yang Juan Wang Hongxin Hu Xingyu Zhao 109 9 0 31 Aug 2024
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning Noor Hussein Fahad Shamshad Muzammal Naseer Karthik Nandakumar AAML 103 4 0 29 Aug 2024
Certified Causal Defense with Generalizable Robustness Yiran Qiao Yu Yin Chen Chen Jing Ma AAML OOD CML 181 0 0 28 Aug 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 114 6 0 20 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A Black-box Server Fangyuan Zhao Yuexiang Xie Xuebin Ren Bolin Ding Shusen Yang Yaliang Li FedML AAML 106 0 0 12 Aug 2024
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection Hong Guan Yancheng Wang Lulu Xie Soham Nag Rajeev Goel ... Yingzhen Yang Chaowei Xiao Jonathan Prisby Ross Maciejewski Jia Zou 68 2 0 03 Aug 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance Zhuoqun Huang Yipeng Wang Seunghee Shin Benjamin I. P. Rubinstein AAML 105 1 0 01 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 113 2 0 26 Jul 2024
Certified Continual Learning for Neural Network Regression Long H. Pham Jun Sun 119 2 0 09 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 63 5 0 08 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 132 3 0 03 Jul 2024
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning Anqi Zhou Yezheng Liu Yidong Chai Hongyi Zhu Xinyue Ge Yuanchun Jiang Meng Wang AAML 92 0 0 30 Jun 2024
Protecting the 'Stop Using My Data' Right through Blockchain-assisted Evidence Generation Fan Zhang Peng Liu 40 0 0 25 Jun 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness Vaclav Voracek AAML 124 2 0 25 Jun 2024
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 73 1 0 14 Jun 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing Youwei Shu Xi Xiao Derui Wang Yuxin Cao Siji Chen Jason Xue Linyi Li Yue Liu 80 2 0 04 Jun 2024
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness Jieren Deng Hanbin Hong A. Palmer Xin Zhou Jinbo Bi Kaleel Mahmood Yuan Hong Derek Aguiar AAML 62 0 0 25 May 2024