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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,378 papers shown

Title
Linear Oscillation: A Novel Activation Function for Vision Transformer Juyoung Yun LLMSV 45 0 0 25 Aug 2023
Text Style Transfer Evaluation Using Large Language Models Phil Ostheimer Mayank Nagda Marius Kloft Sophie Fellenz 128 10 0 25 Aug 2023
Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks John Harshith Mantej Singh Gill Madhan Jothimani AAML 53 1 0 24 Aug 2023
Fast Adversarial Training with Smooth Convergence Mengnan Zhao Lulu Zhang Yuqiu Kong Baocai Yin AAML 51 8 0 24 Aug 2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities Maximilian Mozes Xuanli He Bennett Kleinberg Lewis D. Griffin 87 87 0 24 Aug 2023
On-Manifold Projected Gradient Descent Aaron Mahler Tyrus Berry Thomas Stephens Harbir Antil Michael Merritt Jeanie Schreiber Ioannis G. Kevrekidis AAML 84 0 0 23 Aug 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 62 0 0 23 Aug 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng Li FaML AI4TS 102 2 0 23 Aug 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack Ningfei Wang Y. Luo Takami Sato Kaidi Xu Qi Alfred Chen AAML 74 34 0 23 Aug 2023
Adversarial Training Using Feedback Loops Ali Haisam Muhammad Rafid Adrian Sandu AAML 50 1 0 23 Aug 2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification Yizhen Yuan Rui Kong Shenghao Xie Yan Liang Yunxin Liu 38 7 0 22 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 143 11 0 22 Aug 2023
Complex-valued neural networks for voice anti-spoofing Nicolas Müller Philip Sperl Konstantin Böttinger 79 16 0 22 Aug 2023
Understanding Hessian Alignment for Domain Generalization S. Hemati Guojun Zhang A. Estiri Xi Chen 81 14 0 22 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection Charles Guille-Escuret Pierre-Andre Noel Ioannis Mitliagkas David Vazquez João Monteiro OOD OODD 72 1 0 22 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging Xiaojun Jia YueFeng Chen Xiaofeng Mao Ranjie Duan Jindong Gu Rong Zhang H. Xue Xiaochun Cao AAML 67 11 0 22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 98 1 0 21 Aug 2023
On the Adversarial Robustness of Multi-Modal Foundation Models Christian Schlarmann Matthias Hein AAML 180 107 0 21 Aug 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models Preben Ness D. Marijan Sunanda Bose CML 72 0 0 21 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 128 8 0 21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 98 19 0 21 Aug 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 56 6 0 20 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang Xiaoyi Dong DongDong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 110 9 0 20 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 115 44 0 20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 150 3 0 20 Aug 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 93 19 0 19 Aug 2023
A Comparison of Adversarial Learning Techniques for Malware Detection Pavla Louthánová M. Kozák M. Jureček Mark Stamp AAML 56 3 0 19 Aug 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Kelvin J.L. Koa Yunshan Ma Ritchie Ng Tat-Seng Chua DiffM 72 25 0 18 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 78 5 0 18 Aug 2023
DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack Binhao Ma Jiahui Wang Dejun Wang Bo Meng AAML 54 0 0 18 Aug 2023
Attacking logo-based phishing website detectors with adversarial perturbations Jehyun Lee Zhe Xin Melanie Ng Pei See Kanav Sabharwal Giovanni Apruzzese D. Divakaran AAML 89 8 0 18 Aug 2023
Noise Sensitivity and Stability of Deep Neural Networks for Binary Classification J. Jonasson J. Steif Olof Zetterqvist 19 1 0 18 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 88 0 0 17 Aug 2023
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces A. Ehyaei Kiarash Mohammadi Amir-Hossein Karimi Samira Samadi G. Farnadi AAML 100 3 0 17 Aug 2023
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models Zhongliang Guo Weiye Li Yifei Qian Ognjen Arandjelovic Lei Fang AAML 90 14 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 53 5 0 17 Aug 2023
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery Jinyin Chen Jie Ge Shilian Zheng Linhui Ye Haibin Zheng Weiguo Shen Keqiang Yue Xiaoniu Yang AAML 58 2 0 17 Aug 2023
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks Mirazul Haque Wei Yang AAML 53 2 0 17 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 77 6 0 16 Aug 2023
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Francesco Campi Lukas Gosch Thomas Wollschläger Yan Scholten Stephan Günnemann AAML 87 2 0 16 Aug 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 70 14 0 16 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models Brijesh Vora Kartik Patwari Syed Mahbub Hafiz Zubair Shafiq Chen-Nee Chuah AAML 77 2 0 16 Aug 2023
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification Raza Imam Ibrahim Almakky Salma Alrashdi Baketah Alrashdi Mohammad Yaqub AAML 62 1 0 15 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen Chun Yuan Jiaming Ji AAML 69 7 0 15 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 86 3 0 15 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 77 5 0 15 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack Yunbo Tao Daizong Liu Pan Zhou Yulai Xie Wei Du Wei Hu 3DPC AAML 89 13 0 15 Aug 2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression Anton Baumann Thomas Roßberg Michael Schmitt UQCV 60 2 0 14 Aug 2023
White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification Jie Ma Junqing Zhang Guanxiong Shen A. Marshall Chip Hong Chang AAML 42 6 0 14 Aug 2023
Addressing Distribution Shift in RTB Markets via Exponential Tilting Minji Kim Seong Jin Lee B. Kim 22 1 0 14 Aug 2023