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Certified Robustness to Adversarial Examples with Differential Privacy

9 February 2018

Papers citing "Certified Robustness to Adversarial Examples with Differential Privacy"

50 / 567 papers shown

Title
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 64 6 0 05 Oct 2023
Fooling the Textual Fooler via Randomizing Latent Representations Duy C. Hoang Quang H. Nguyen Saurav Manchanda MinLong Peng Kok-Seng Wong Khoa D. Doan SILM AAML 70 0 0 02 Oct 2023
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre Alexandre Araujo Quentin Barthélemy A. Allauzen AAML 86 6 0 28 Sep 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 93 9 0 28 Sep 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML OOD 53 1 0 28 Sep 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 71 16 0 25 Sep 2023
It's Simplex! Disaggregating Measures to Improve Certified Robustness Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 78 3 0 20 Sep 2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass Minxin Du Xiang Yue Sherman S. M. Chow Tianhao Wang Chenyu Huang Huan Sun SILM 107 65 0 13 Sep 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 155 197 0 06 Sep 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing Jiawei Zhang Zhongzhu Chen Huan Zhang Chaowei Xiao Yue Liu DiffM 84 26 0 28 Aug 2023
Brain-like representational straightening of natural movies in robust feedforward neural networks Tahereh Toosi Elias B. Issa 66 5 0 26 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 84 0 0 17 Aug 2023
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing Daniel Gibert Giulio Zizzo Quan Le AAML 48 5 0 17 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 66 6 0 15 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 111 1 0 01 Aug 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks Xinyu Zhang Hanbin Hong Yuan Hong Peng Huang Binghui Wang Zhongjie Ba Kui Ren SILM 133 25 0 31 Jul 2023
A LLM Assisted Exploitation of AI-Guardian Nicholas Carlini ELM SILM 52 18 0 20 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 90 3 0 17 Jul 2023
A unifying framework for differentially private quantum algorithms Armando Angrisani Mina Doosti E. Kashefi FedML 71 9 0 10 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 91 1 0 29 Jun 2023
[Re] Double Sampling Randomized Smoothing A. Gupta Sarthak Gupta Abhay Kumar Harsh Dugar AAML 49 0 0 27 Jun 2023
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks Pranav Dahiya Ilia Shumailov Ross J. Anderson SILM AAML 56 2 0 24 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 79 57 0 22 Jun 2023
Structure-Aware Robustness Certificates for Graph Classification Pierre Osselin Henry Kenlay Xiaowen Dong 67 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 86 2 0 16 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 87 2 0 14 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
Precise and Generalized Robustness Certification for Neural Networks Yuanyuan Yuan Shuai Wang Z. Su AAML 73 2 0 11 Jun 2023
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness Min Zhu Shihang Feng Youzuo Lin Lu Lu 74 65 0 26 May 2023
Differentially-Private Decision Trees and Provable Robustness to Data Poisoning D. Vos Jelle Vos Tianyu Li Z. Erkin S. Verwer FedML 42 1 0 24 May 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications Han Cheol Moon Shafiq Joty Ruochen Zhao Megh Thakkar Xu Chi AAML 68 15 0 11 May 2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions George J. Siedel Weijia Shao S. Vock Andrey Morozov 57 1 0 09 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 67 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
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
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip Torr Adel Bibi UQCV 70 1 0 25 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 98 13 0 17 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 121 5 0 13 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 81 3 0 10 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 80 6 0 06 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 59 5 0 05 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 67 1 0 28 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 60 5 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
Wasserstein Adversarial Examples on Univariant Time Series Data Wenjie Wang Li Xiong Jian Lou AAML 45 0 0 22 Mar 2023
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness Shoumik Saha Wenxiao Wang Yigitcan Kaya Soheil Feizi Tudor Dumitras AAML 63 1 0 20 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks Binghui Wang Meng Pang Yun Dong AAML 64 16 0 10 Mar 2023
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees Jinghuai Zhang Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 3DPC 71 7 0 03 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 64 13 0 01 Mar 2023