Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation

21 November 2019

Papers citing "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation"

50 / 68 papers shown

Title
Certified Adversarial Robustness via Partition-based Randomized Smoothing Hossein Goli Farzan Farnia AAML 19 0 0 20 Sep 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 66 6 0 20 Aug 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance Zhuoqun Huang Yipeng Wang Seunghee Shin Benjamin I. P. Rubinstein AAML 50 1 0 01 Aug 2024
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals Keshav Bimbraw Jing Liu Ye Wang T. Koike-Akino 27 1 0 15 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 63 11 0 12 Jul 2024
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification Harrison Gietz Jugal Kalita AAML 23 1 0 18 Jun 2024
Certified Robustness against Sparse Adversarial Perturbations via Data Localization Ambar Pal Rene Vidal Jeremias Sulam 30 0 0 23 May 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models Yanting Wang Hongye Fu Wei Zou Jinyuan Jia AAML 23 1 0 28 Mar 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 27 1 0 05 Feb 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 35 4 0 19 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 44 6 0 07 Dec 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 41 5 0 24 Oct 2023
Certified Robustness for Large Language Models with Self-Denoising Zhen Zhang Guanhua Zhang Bairu Hou Wenqi Fan Qing Li Sijia Liu Yang Zhang Shiyu Chang 19 22 0 14 Jul 2023
From Robustness to Explainability and Back Again Xuanxiang Huang Sasha Rubin 34 10 0 05 Jun 2023
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 54 53 0 30 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 21 7 0 08 May 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 21 5 0 05 Apr 2023
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness Shoumik Saha Wenxiao Wang Yigitcan Kaya S. Feizi Tudor Dumitras AAML 13 1 0 20 Mar 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 18 14 0 10 Mar 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators Keane Lucas Matthew Jagielski Florian Tramèr Lujo Bauer Nicholas Carlini AAML 30 10 0 27 Feb 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 32 15 0 31 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 29 15 0 05 Jan 2023
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future Guo-Jun Qi M. Shah SSL 23 8 0 23 Oct 2022
Reducing Certified Regression to Certified Classification for General Poisoning Attacks Zayd Hammoudeh Daniel Lowd AAML 40 9 0 29 Aug 2022
Certified Neural Network Watermarks with Randomized Smoothing Arpit Bansal Ping Yeh-Chiang Michael J. Curry R. Jain Curtis Wigington Varun Manjunatha John P. Dickerson Tom Goldstein AAML 6 38 0 16 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 19 1 0 11 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong Binghui Wang Yuan Hong AAML 36 10 0 05 Jul 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 19 13 0 22 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 31 10 0 21 Jun 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 24 10 0 18 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 21 20 0 16 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 30 3 0 27 May 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 27 3 0 21 Apr 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 34 30 0 12 Mar 2022
$Binary Classification Under $\ell_0$ Attacks for General Noise Distribution$ Binary Classification Under $\ell_0$ Attacks for General Noise Distribution Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 13 0 0 09 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 26 9 0 02 Mar 2022
Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models Abigail Swenor Jugal Kalita AAML 11 12 0 11 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 42 5 0 02 Feb 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein S. Feizi OOD 27 7 0 28 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 27 2 0 23 Jan 2022
Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 43 14 0 21 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 29 12 0 12 Dec 2021
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 70 58 0 11 Oct 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 52 16 0 22 Sep 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 24 73 0 20 Aug 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization Francisco Eiras Motasem Alfarra M. P. Kumar Philip Torr P. Dokania Guohao Li Adel Bibi 15 32 0 09 Jul 2021
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 21 0 0 18 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev AAML UQCV 18 48 0 13 Jun 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK] Jiehang Zeng Xiaoqing Zheng Jianhan Xu Linyang Li Liping Yuan Xuanjing Huang AAML 26 67 0 08 May 2021
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting Qiming Wu Zhikang Zou Pan Zhou Xiaoqing Ye Binghui Wang Ang Li AAML 19 4 0 22 Apr 2021