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
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 67 2 0 02 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 83 6 0 31 Jan 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models Wen-Hsuan Chu Linyi Li Yue Liu 3DPC 111 13 0 30 Jan 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi OOD 115 7 0 28 Jan 2022
The Many Faces of Adversarial Risk Muni Sreenivas Pydi Varun Jog AAML 77 30 0 22 Jan 2022
Identifying Adversarial Attacks on Text Classifiers Zhouhang Xie Jonathan Brophy Adam Noack Wencong You Kalyani Asthana Carter Perkins Sabrina Reis Sameer Singh Daniel Lowd AAML 86 10 0 21 Jan 2022
Certifiable Robustness for Nearest Neighbor Classifiers Austen Z. Fan Paraschos Koutris AAML 59 6 0 13 Jan 2022
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training Yatong Bai Tanmay Gautam Somayeh Sojoudi AAML 119 17 0 06 Jan 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 75 8 0 04 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 90 21 0 04 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 84 58 0 03 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 90 1 0 30 Dec 2021
End-to-End Autoencoder Communications with Optimized Interference Suppression Kemal Davaslioglu T. Erpek Y. Sagduyu 69 4 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 74 5 0 28 Dec 2021
Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 156 16 0 21 Dec 2021
Certified Federated Adversarial Training Giulio Zizzo Ambrish Rawat M. Sinn S. Maffeis C. Hankin FedML 62 9 0 20 Dec 2021
Robust Upper Bounds for Adversarial Training Dimitris Bertsimas Xavier Boix Kimberly Villalobos Carballo D. Hertog AAML 87 0 0 17 Dec 2021
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks Ian Ryu Huan Zhang Jun-Ho Choi Cho-Jui Hsieh Jong-Seok Lee AAML 94 5 0 15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 107 13 0 14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 101 62 0 13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin Soheil Feizi Ramalingam Chellappa AAML 85 13 0 12 Dec 2021
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks Seungyong Moon Gaon An Hyun Oh Song AAML 48 5 0 10 Dec 2021
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 70 4 0 10 Dec 2021
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach Saber Jafarpour Matthew Abate A. Davydov Francesco Bullo Samuel Coogan AAML 81 8 0 10 Dec 2021
Mutual Adversarial Training: Learning together is better than going alone Jiang-Long Liu Chun Pong Lau Hossein Souri Soheil Feizi Ramalingam Chellappa OOD AAML 76 25 0 09 Dec 2021
A Continuous-time Stochastic Gradient Descent Method for Continuous Data Kexin Jin J. Latz Chenguang Liu Carola-Bibiane Schönlieb 91 9 0 07 Dec 2021
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks Jing Lin Long Dang Mohamed Rahouti Kaiqi Xiong AAML 80 48 0 06 Dec 2021
On the Existence of the Adversarial Bayes Classifier (Extended Version) Pranjal Awasthi Natalie Frank M. Mohri 91 25 0 03 Dec 2021
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization Xingchao Liu Chengyue Gong Lemeng Wu Shujian Zhang Haoran Su Qiang Liu CLIP 106 91 0 02 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 81 23 0 01 Dec 2021
Do Invariances in Deep Neural Networks Align with Human Perception? Vedant Nanda Ayan Majumdar Camila Kolling John P. Dickerson Krishna P. Gummadi Bradley C. Love Adrian Weller AAML 69 5 0 29 Nov 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 84 27 0 29 Nov 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 115 4 0 27 Nov 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 92 21 0 26 Nov 2021
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 117 59 0 24 Nov 2021
Backdoor Attack through Frequency Domain Tong Wang Yuan Yao Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 90 35 0 22 Nov 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification Daizong Liu Wei Hu 3DPC 131 51 0 22 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad Damith C. Ranasinghe AAML 124 57 0 19 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 76 69 0 18 Nov 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong Sejun Park Minkyu Kim Heung-Chang Lee Do-Guk Kim Jinwoo Shin AAML 85 58 0 17 Nov 2021
Selective Ensembles for Consistent Predictions Emily Black Klas Leino Matt Fredrikson 74 23 0 16 Nov 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello J. Feather Hang Le Tiago Marques David D. Cox Josh H. McDermott J. DiCarlo SueYeon Chung AAML OOD 68 25 0 12 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 97 142 0 11 Nov 2021
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks Lijia Yu Xiao-Shan Gao AAML 118 5 0 08 Nov 2021
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition R. Olivier Bhiksha Raj AAML 141 11 0 05 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Wei Ping Chejian Xu Shuohang Wang Zhe Gan Yu Cheng Jianfeng Gao Ahmed Hassan Awadallah Yangqiu Song VLM ELM AAML 104 227 0 04 Nov 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 112 78 0 02 Nov 2021
Holistic Deep Learning Dimitris Bertsimas Kimberly Villalobos Carballo L. Boussioux M. Li Alex Paskov I. Paskov 108 3 0 29 Oct 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 188 46 0 29 Oct 2021
ε-weakened Robustness of Deep Neural Networks Pei Huang Yuting Yang Minghao Liu Fuqi Jia Feifei Ma Jian Zhang AAML 71 18 0 29 Oct 2021