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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 62 1 0 08 Aug 2022
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks Laura Fee Nern Harsh Raj Maurice Georgi Yash Sharma AAML 97 4 0 07 Aug 2022
Are Gradients on Graph Structure Reliable in Gray-box Attacks? Zihan Liu Yun Luo Lirong Wu Siyuan Li Zicheng Liu Stan Z. Li AAML 107 23 0 07 Aug 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao Song Jiaming Yang FedML 92 21 0 07 Aug 2022
Blackbox Attacks via Surrogate Ensemble Search Zikui Cai Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 108 21 0 07 Aug 2022
Proof-of-Learning is Currently More Broken Than You Think Cong Fang Hengrui Jia Anvith Thudi Mohammad Yaghini Christopher A. Choquette-Choo Natalie Dullerud Varun Chandrasekaran Nicolas Papernot AAML 56 17 0 06 Aug 2022
Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls Da Ju Jing Xu Y-Lan Boureau Jason Weston AAML 88 18 0 05 Aug 2022
A Holistic Approach to Undesired Content Detection in the Real World Todor Markov Chong Zhang Sandhini Agarwal Tyna Eloundou Teddy Lee Steven Adler Angela Jiang L. Weng 125 237 0 05 Aug 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 102 34 0 04 Aug 2022
Adversarial Attacks on Image Generation With Made-Up Words Raphael Milliere 90 39 0 04 Aug 2022
Prompt Tuning for Generative Multimodal Pretrained Models Han Yang Junyang Lin An Yang Peng Wang Chang Zhou Hongxia Yang VLM LRM VPVLM 86 31 0 04 Aug 2022
A New Kind of Adversarial Example Ali Borji AAML 122 1 0 04 Aug 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 51 2 0 03 Aug 2022
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification Sicheng Zhang Jiarun Yu Zhida Bao S. Mao Yun Lin AAML 52 9 0 03 Aug 2022
Robust Graph Neural Networks using Weighted Graph Laplacian Bharat Runwal Vivek Sandeep Kumar AAML OOD 53 5 0 03 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 73 13 0 02 Aug 2022
Making a Spiking Net Work: Robust brain-like unsupervised machine learning Peter G. Stratton Andrew Wabnitz Chip Essam A. Cheung T. Hamilton OOD 73 4 0 02 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales AAML 75 4 0 01 Aug 2022
Is current research on adversarial robustness addressing the right problem? Ali Borji OOD AAML 56 1 0 31 Jul 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 90 2 0 31 Jul 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks N. Babaguchi John R. Smith Pengxu Wei T. Plagemann Rong Yan AAML 110 27 0 31 Jul 2022
Exploiting and Defending Against the Approximate Linearity of Apple's NeuralHash Jagdeep Bhatia Kevin Meng 21 3 0 28 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 69 5 0 28 Jul 2022
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection Caleb Tung Abhinav Goel Fischer Bordwell Nick Eliopoulos Xiao Hu George K. Thiruvathukal Yung-Hsiang Lu 25 4 0 28 Jul 2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips Jiawang Bai Kuofeng Gao Dihong Gong Shutao Xia Zhifeng Li Wen Liu AAML 80 29 0 27 Jul 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking Mingejie Wang Jianxiong Guo Sirui Li Dingwen Xiao Zhiqing Tang AAML 83 0 0 27 Jul 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 95 16 0 27 Jul 2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception Rui Duan Zhe Qu Shangqing Zhao Leah Ding Yao-Hong Liu Zhuo Lu AAML 54 6 0 26 Jul 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 77 55 0 26 Jul 2022
$p$ -DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations Adam Dziedzic Stephan Rabanser Mohammad Yaghini Armin Ale Murat A. Erdogdu Nicolas Papernot AAML 68 3 0 25 Jul 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 119 77 0 25 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 100 21 0 25 Jul 2022
Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou Nannan Wang Xinbo Gao Bo Han Xiaoyu Wang Yibing Zhan Tongliang Liu AAML 47 16 0 25 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 85 24 0 25 Jul 2022
Versatile Weight Attack via Flipping Limited Bits Jiawang Bai Baoyuan Wu Zhifeng Li Shutao Xia AAML 71 19 0 25 Jul 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 108 18 0 24 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 56 10 0 22 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 27 5 0 22 Jul 2022
Provable Defense Against Geometric Transformations Rem Yang Jacob S. Laurel Sasa Misailovic Gagandeep Singh AAML 85 15 0 22 Jul 2022
Do Artificial Intelligence Systems Understand? Eduardo C. Garrido-Merchán Carlos Blanco 115 6 0 22 Jul 2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness Chaoning Zhang Kang Zhang Chenshuang Zhang Axi Niu Jiu Feng Chang D. Yoo In So Kweon SSL 96 25 0 22 Jul 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research Xiruo Liu Shibani Singh Cory Cornelius Colin Busho Mike Tan Anindya Paul Jason Martin AAML 81 2 0 21 Jul 2022
Careful What You Wish For: on the Extraction of Adversarially Trained Models Kacem Khaled Gabriela Nicolescu F. Magalhães MIACV AAML 78 4 0 21 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 94 40 0 21 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 62 6 0 21 Jul 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 61 11 0 21 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 57 1 0 21 Jul 2022
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai Shin'ya Yamaguchi Masanori Yamada Hiroshi Takahashi Kentaro Ohno Yasutoshi Ida AAML 87 9 0 21 Jul 2022
Controllable and Guided Face Synthesis for Unconstrained Face Recognition Feng Liu Minchul Kim Anil Jain Xiaoming Liu CVBM 108 40 0 20 Jul 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip Torr Adel Bibi Christian Schroeder de Witt AAML 78 8 0 20 Jul 2022