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
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation Seffi Cohen Niv Goldshlager Lior Rokach Bracha Shapira 70 9 0 29 Oct 2021
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 121 7 0 28 Oct 2021
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen Xi Wu Yang Guo Yingyu Liang S. Jha ELM AAML 104 15 0 27 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu SungSoo Ahn Le Song Jinwoo Shin OffRL 97 36 0 27 Oct 2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers Husheng Han Kaidi Xu Xing Hu Xiaobing Chen Ling Liang Zidong Du Qi Guo Yanzhi Wang Yunji Chen AAML 71 20 0 27 Oct 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu Qixuan Yu Yang Zhang Shan-Hung Wu Ouyang Xu David D. Cox Yingyan Lin AAML OOD 156 30 0 26 Oct 2021
Defensive Tensorization Adrian Bulat Jean Kossaifi S. Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane Maja Pantic AAML 42 4 0 26 Oct 2021
A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier Blaise Delattre Alexandre Araujo A. Allauzen 134 56 0 25 Oct 2021
QuantifyML: How Good is my Machine Learning Model? Mario Gleirscher D. Gopinath C. Păsăreanu 35 2 0 25 Oct 2021
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy Xiaolan Gu Ming Li Lishuang Xiong FedML 66 11 0 22 Oct 2021
RoMA: a Method for Neural Network Robustness Measurement and Assessment Natan Levy Guy Katz OOD AAML 92 13 0 21 Oct 2021
Watermarking Graph Neural Networks based on Backdoor Attacks Jing Xu Stefanos Koffas Oguzhan Ersoy S. Picek AAML 110 33 0 21 Oct 2021
Differentiable Rendering with Perturbed Optimizers Quentin Le Lidec Ivan Laptev Cordelia Schmid Justin Carpentier 76 15 0 18 Oct 2021
Towards Robust Waveform-Based Acoustic Models Dino Oglic Zoran Cvetkovic Peter Sollich Steve Renals Bin Yu OOD AAML 61 1 0 16 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras Aleksander Madry 124 14 0 15 Oct 2021
Adversarial Attacks on ML Defense Models Competition Yinpeng Dong Qi-An Fu Xiao Yang Wenzhao Xiang Tianyu Pang ... Zhennan Wu Yang Guo Jiequan Cui Xiaogang Xu Pengguang Chen AAML 62 2 0 15 Oct 2021
Adversarial Purification through Representation Disentanglement Tao Bai Jun Zhao Lanqing Guo Bihan Wen AAML 41 1 0 15 Oct 2021
Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks Mark Niklas Muller Marc Fischer Robin Staab Martin Vechev 63 3 0 14 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 122 2 0 14 Oct 2021
Boosting the Certified Robustness of L-infinity Distance Nets Bohang Zhang Du Jiang Di He Liwei Wang OOD 103 30 0 13 Oct 2021
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 120 60 0 11 Oct 2021
Intriguing Properties of Input-dependent Randomized Smoothing Peter Súkeník A. Kuvshinov Stephan Günnemann AAML UQCV 83 22 0 11 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 80 35 0 09 Oct 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap Chinmay Hegde ViT 104 20 0 08 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 56 1 0 07 Oct 2021
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 136 3 0 01 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 319 294 0 28 Sep 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 58 7 0 25 Sep 2021
Auditing AI models for Verified Deployment under Semantic Specifications Homanga Bharadhwaj De-An Huang Chaowei Xiao Anima Anandkumar Animesh Garg MLAU 102 6 0 25 Sep 2021
Local Intrinsic Dimensionality Signals Adversarial Perturbations Sandamal Weerasinghe T. Alpcan S. Erfani C. Leckie Benjamin I. P. Rubinstein AAML 47 0 0 24 Sep 2021
Robust Generalization of Quadratic Neural Networks via Function Identification Kan Xu Hamsa Bastani Osbert Bastani OOD 93 8 0 22 Sep 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 97 16 0 22 Sep 2021
Privacy, Security, and Utility Analysis of Differentially Private CPES Data Md Tamjid Hossain S. Badsha Haoting Shen 75 10 0 21 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 147 16 0 20 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 78 4 0 16 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 180 14 0 11 Sep 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks Kiran Karra C. Ashcraft Cash Costello AAML 79 0 0 09 Sep 2021
Robustness and Generalization via Generative Adversarial Training Omid Poursaeed Tianxing Jiang Harry Yang Serge Belongie SerNam Lim OOD AAML 71 26 0 06 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 279 742 0 04 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 97 24 0 31 Aug 2021
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings Mazda Moayeri Soheil Feizi AAML 46 19 0 30 Aug 2021
A Hierarchical Assessment of Adversarial Severity Guillaume Jeanneret Juan Pérez Pablo Arbeláez AAML 64 2 0 26 Aug 2021
Generalized Real-World Super-Resolution through Adversarial Robustness Angela Castillo María Escobar Juan C. Pérez Andrés Romero Radu Timofte Luc Van Gool Pablo Arbelaez 82 16 0 25 Aug 2021
Certifiers Make Neural Networks Vulnerable to Availability Attacks Tobias Lorenz Marta Kwiatkowska Mario Fritz AAML SILM 89 3 0 25 Aug 2021
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks Haowen Lin Jian Lou Li Xiong Cyrus Shahabi MQ AAML 59 13 0 21 Aug 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 105 78 0 20 Aug 2021
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Zihang Meng Vikas Singh Sathya Ravi 56 1 0 19 Aug 2021
Pruning in the Face of Adversaries F. Merkle Maximilian Samsinger Pascal Schöttle AAML CVBM 71 3 0 19 Aug 2021
When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples Maximilian Samsinger F. Merkle Pascal Schöttle Tomás Pevný AAML 89 3 0 17 Aug 2021
Deep Adversarially-Enhanced k-Nearest Neighbors Ren Wang Tianqi Chen Alfred Hero 90 0 0 15 Aug 2021