v1v2 (latest)

Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

Jeremy M. Cohen

Elan Rosenfeld

J. Zico Kolter

AAML

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Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

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Title
[Re] Double Sampling Randomized Smoothing A. Gupta Sarthak Gupta Abhay Kumar Harsh Dugar AAML 68 0 0 27 Jun 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang Shiwei Liu Tianlong Chen Meng Fang Lijuan Shen Vlaod Menkovski Lu Yin Yulong Pei Mykola Pechenizkiy AAML 100 5 0 25 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 116 1 0 25 Jun 2023
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks Pranav Dahiya Ilia Shumailov Ross J. Anderson SILM AAML 80 2 0 24 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 143 173 0 22 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 81 58 0 22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 139 29 0 22 Jun 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation Jianghui Wang Cheng Yang Xingyu Xie Cong Fang Zhouchen Lin OOD 94 0 0 21 Jun 2023
Structure-Aware Robustness Certificates for Graph Classification Pierre Osselin Henry Kenlay Xiaowen Dong 83 0 0 20 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 93 2 0 16 Jun 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 103 7 0 16 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers Chandramouli Shama Sastry Sri Harsha Dumpala Sageev Oore 73 2 0 15 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness Jiapeng Wu Atiyeh Ashari Ghomi David Glukhov Jesse C. Cresswell Franziska Boenisch Nicolas Papernot AAML 99 2 0 14 Jun 2023
Towards Rigorous Design of OoD Detectors Chih-Hong Cheng Changshun Wu Harald Ruess Saddek Bensalem OODD 97 0 0 14 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 73 0 0 13 Jun 2023
How robust accuracy suffers from certified training with convex relaxations Piersilvio De Bartolomeis Jacob Clarysse Amartya Sanyal Fanny Yang AAML 66 2 0 12 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 54 6 0 10 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 96 50 0 08 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 81 6 0 05 Jun 2023
From Robustness to Explainability and Back Again Xuanxiang Huang Sasha Rubin 104 10 0 05 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 82 10 0 02 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 64 4 0 02 Jun 2023
Incremental Randomized Smoothing Certification Shubham Ugare Tarun Suresh Debangshu Banerjee Gagandeep Singh Sasa Misailovic AAML 99 8 0 31 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 99 13 0 30 May 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu Souradip Chakraborty Yanchao Sun Furong Huang AAML 79 6 0 27 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text Ashim Gupta Carter Blum Temma Choji Yingjie Fei Shalin S Shah Alakananda Vempala Vivek Srikumar AAML 69 9 0 25 May 2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Bethune Thomas Massena Thibaut Boissin Yannick Prudent Corentin Friedrich Franck Mamalet A. Bellet M. Serrurier David Vigouroux 104 9 0 25 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 158 60 0 24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 59 4 0 24 May 2023
Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth A. Lomuscio AAML 110 14 0 23 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning Minchan Kwon Kangil Kim AAML 46 0 0 23 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 74 1 0 23 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 106 5 0 20 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 143 98 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 122 64 0 18 May 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models Thomas Altstidl David Dobre Björn Eskofier Gauthier Gidel Leo Schwinn DiffM 100 7 0 17 May 2023
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation Yixin Zhang Maciej A. Mazurowski 3DV 3DPC 97 13 0 11 May 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications Han Cheol Moon Shafiq Joty Ruochen Zhao Megh Thakkar Xu Chi AAML 75 15 0 11 May 2023
VSMask: Defending Against Voice Synthesis Attack via Real-Time Predictive Perturbation Yuanda Wang Hanqing Guo Guangjing Wang Bocheng Chen Qiben Yan AAML 67 18 0 09 May 2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions George J. Siedel Weijia Shao S. Vock Andrey Morozov 80 1 0 09 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 78 7 0 08 May 2023
TAPS: Connecting Certified and Adversarial Training Yuhao Mao Mark Niklas Muller Marc Fischer Martin Vechev AAML 119 11 0 08 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 69 3 0 08 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 77 8 0 06 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 82 6 0 05 May 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer Lichang Chen Heng-Chiao Huang Varun Madhavan AAML 187 12 0 03 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 83 22 0 26 Apr 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip Torr Adel Bibi UQCV 78 1 0 25 Apr 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Y. Fu Ye Yuan Shang Wu Jiayi Yuan Yingyan Lin OOD 130 3 0 24 Apr 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization Mingli Zhu Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML 100 56 0 24 Apr 2023