Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

J. Zico Kolter

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

50 / 537 papers shown

Title
Certified Robust Control under Adversarial Perturbations Jinghan Yang Hunmin Kim Wenbin Wan N. Hovakimyan Yevgeniy Vorobeychik AAML 19 1 0 04 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 23 7 0 02 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization Bo-Han Kung Shang-Tse Chen AAML 37 0 0 01 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks Brandon B. May N. Joseph Tatro Dylan Walker Piyush Kumar N. Shnidman DiffM 38 7 0 31 Jan 2023
Interpreting Robustness Proofs of Deep Neural Networks Debangshu Banerjee Avaljot Singh Gagandeep Singh AAML 29 5 0 31 Jan 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 40 15 0 31 Jan 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 57 29 0 30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 47 3 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 58 18 0 29 Jan 2023
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks Xingwu Guo Ziwei Zhou Yueling Zhang Guy Katz Hao Fei AAML 37 5 0 27 Jan 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 39 8 0 26 Jan 2023
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers Saber Jafarpour Akash Harapanahalli Samuel Coogan 46 10 0 19 Jan 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SILM AAML 41 4 0 07 Jan 2023
gRoMA: a Tool for Measuring the Global Robustness of Deep Neural Networks Natan Levy Raz Yerushalmi Guy Katz AAML 33 1 0 05 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten Jan Schuchardt Simon Geisler Aleksandar Bojchevski Stephan Günnemann AAML 32 16 0 05 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 55 2 0 03 Jan 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 65 5 0 22 Dec 2022
Learned Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 32 2 0 20 Dec 2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 43 7 0 18 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 42 13 0 13 Dec 2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 49 1 0 13 Dec 2022
What do Vision Transformers Learn? A Visual Exploration Amin Ghiasi Hamid Kazemi Eitan Borgnia Steven Reich Manli Shu Micah Goldblum A. Wilson Tom Goldstein ViT 42 60 0 13 Dec 2022
Adversarially Robust Video Perception by Seeing Motion Lingyu Zhang Chengzhi Mao Junfeng Yang Carl Vondrick VGen AAML 49 2 0 13 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 37 1 0 12 Dec 2022
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 47 30 0 09 Dec 2022
XRand: Differentially Private Defense against Explanation-Guided Attacks Truc D. T. Nguyen Phung Lai Nhathai Phan My T. Thai AAML SILM 35 14 0 08 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 31 19 0 05 Dec 2022
Understanding the Robustness of Multi-Exit Models under Common Corruptions Akshay Mehra Skyler Seto Navdeep Jaitly B. Theobald AAML 32 3 0 03 Dec 2022
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks Michal Jamro.z Marcin Kurdziel 30 0 0 01 Dec 2022
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations Hong-Ming Chiu Richard Y. Zhang AAML 27 2 0 30 Nov 2022
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 30 22 0 27 Nov 2022
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 30 5 0 25 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 35 33 0 23 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 45 7 0 21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 40 27 0 21 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 51 10 0 19 Nov 2022
Improved techniques for deterministic l2 robustness Sahil Singla Soheil Feizi AAML 28 10 0 15 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 44 5 0 04 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 37 6 0 02 Nov 2022
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML OOD 30 2 0 02 Nov 2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise Jhih-Cing Huang Yu-Lin Tsai Chao-Han Huck Yang Cheng-Fang Su Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo AAML 43 20 0 02 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 34 15 0 27 Oct 2022
There is more than one kind of robustness: Fooling Whisper with adversarial examples R. Olivier Bhiksha Raj AAML 53 12 0 26 Oct 2022
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi Kevin Eykholt Amir Rahmati 44 7 0 25 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 35 1 0 25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 30 7 0 24 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 54 53 0 23 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future Guo-Jun Qi M. Shah SSL 28 8 0 23 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark Kalyani Asthana Zhouhang Xie Wencong You Adam Noack Jonathan Brophy Sameer Singh Daniel Lowd 73 3 0 21 Oct 2022