Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

J. Zico Kolter

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

50 / 548 papers shown

Title
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 57 13 0 21 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 62 1 0 20 Oct 2022
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning Kunbo Ding Weijie Liu Yuejian Fang Weiquan Mao Zhe Zhao Tao Zhu Haoyan Liu Rong Tian Yiren Chen 51 8 0 18 Oct 2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers Gaurav Kumar Nayak Ruchit Rawal Anirban Chakraborty 24 3 0 17 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 30 47 0 12 Oct 2022
Certified Training: Small Boxes are All You Need Mark Niklas Muller Franziska Eckert Marc Fischer Martin Vechev AAML 44 47 0 10 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 38 14 0 06 Oct 2022
On Optimal Learning Under Targeted Data Poisoning Steve Hanneke Amin Karbasi Mohammad Mahmoody Idan Mehalel Shay Moran AAML FedML 41 7 0 06 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling P. Bashivan Adam Ibrahim Amirozhan Dehghani Yifei Ren OOD 35 5 0 30 Sep 2022
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks Neophytos Christou Di Jin Vaggelis Atlidakis Baishakhi Ray V. Kemerlis 34 13 0 29 Sep 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 47 6 0 24 Sep 2022
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 45 6 0 23 Sep 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 41 5 0 20 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 172 154 0 20 Sep 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models R. Olivier H. Abdullah Bhiksha Raj AAML 40 1 0 17 Sep 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser Steve Hanneke Nathan Srebro 37 17 0 15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 28 11 0 15 Sep 2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference Jiawei Zhang Linyi Li Ce Zhang Yue Liu AAML OOD 48 8 0 12 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 73 13 0 08 Sep 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 43 17 0 24 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML 43 3 0 12 Aug 2022
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 30 1 0 08 Aug 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu Jielin Qiu Zhuolin Yang Douglas Weber M. Rosenberg Emerson Liu Yue Liu Ding Zhao OOD 33 13 0 02 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 36 2 0 31 Jul 2022
Robust Scene Inference under Noise-Blur Dual Corruptions Bhavya Goyal Jean-François Lalonde Yin Li Mohit Gupta NoLa 52 1 0 24 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 38 26 0 17 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 34 26 0 17 Jul 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 25 11 0 14 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 29 1 0 11 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 39 5 0 08 Jul 2022
Robust Counterfactual Explanations for Tree-Based Ensembles Sanghamitra Dutta Jason Long Saumitra Mishra Cecilia Tilli Daniele Magazzeni 49 52 0 06 Jul 2022
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations Tianle Zhang Wenjie Ruan J. Fieldsend AAML 18 21 0 05 Jul 2022
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth AAML 52 17 0 29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 54 35 0 29 Jun 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 43 16 0 28 Jun 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 54 7 0 27 Jun 2022
Riemannian data-dependent randomized smoothing for neural networks certification Pol Labarbarie H. Hajri M. Arnaudon 31 4 0 21 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang Soheil Feizi Sumitra Ganesh Furong Huang AAML 36 10 0 21 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 49 36 0 21 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 66 31 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 25 20 0 18 Jun 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu Hongyang R. Zhang Heng Huang 3DV 41 17 0 17 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 40 20 0 16 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Yue Liu AAML 26 23 0 16 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju François Fleuret AAML 31 15 0 14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 40 12 0 13 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 47 36 0 08 Jun 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 48 15 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 31 7 0 06 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 39 3 0 03 Jun 2022