v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
How Does Bayes Error Limit Probabilistic Robust Accuracy Ruihan Zhang Jun Sun AAML 88 1 0 23 May 2024
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds Hanwei Zhang Luo Cheng Qisong He Wei Huang Renjue Li R. Sicre Xiaowei Huang Holger Hermanns Lijun Zhang AAML 64 1 0 23 May 2024
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography N. Chung Sensen Gao Tuan-Anh Vu Jie M. Zhang Aishan Liu Yun Lin Jin Song Dong Qi Guo AAML 103 11 0 23 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 121 18 0 23 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers Shayan Mohajer Hamidi Linfeng Ye AAML 77 1 0 22 May 2024
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective Jiahao Chen Zhiqiang Shen Yuwen Pu Chunyi Zhou Changjiang Li Jiliang Li Ting Wang Shouling Ji AAML 77 1 0 21 May 2024
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction Emad Efatinasab Alessandro Brighente M. Rampazzo Nahal Azadi Mauro Conti 45 3 0 20 May 2024
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors Ruihan Zhang Jun Sun AAML 76 3 0 19 May 2024
Properties that allow or prohibit transferability of adversarial attacks among quantized networks Abhishek Shrestha Jürgen Grossmann AAML 40 0 0 15 May 2024
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations? Mateusz Cedro Marcin Chlebus 67 1 0 14 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 79 0 0 10 May 2024
PUMA: margin-based data pruning Javier Maroto Pascal Frossard AAML 79 1 0 10 May 2024
Universal Adversarial Perturbations for Vision-Language Pre-trained Models Pengfei Zhang Zi Huang Guangdong Bai AAML 87 13 0 09 May 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 72 3 0 06 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 62 1 0 06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 38 0 0 05 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 68 2 0 03 May 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 115 9 0 30 Apr 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Christian Scano Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 133 10 0 30 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 113 2 0 27 Apr 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models Jingyao Xu Yuetong Lu Yandong Li Siyang Lu Dongdong Wang Xiang Wei AAML DiffM 77 11 0 23 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 74 0 0 22 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 71 1 0 19 Apr 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement Pushkar Shukla Dhruv Srikanth Lee Cohen Matthew Turk AAML 64 0 0 18 Apr 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 57 0 0 16 Apr 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics Victoria Leonenkova E. Shumitskaya Anastasia Antsiferova D. Vatolin 111 3 0 15 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 95 1 0 12 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 87 1 0 11 Apr 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 80 3 0 10 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 75 7 0 10 Apr 2024
Towards Robust Domain Generation Algorithm Classification Arthur Drichel Marc Meyer Ulrike Meyer AAML 72 3 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 91 7 0 08 Apr 2024
Quantifying AI Vulnerabilities: A Synthesis of Complexity, Dynamical Systems, and Game Theory B. Kereopa-Yorke 38 0 0 07 Apr 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 75 0 0 06 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 92 1 0 05 Apr 2024
Adversarial Attacks and Dimensionality in Text Classifiers Nandish Chattopadhyay Atreya Goswami Anupam Chattopadhyay SILM AAML 52 1 0 03 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation Mehmet Ergezer Phat Duong Christian Green Tommy Nguyen Abdurrahman Zeybey AAML 65 3 0 02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 96 4 0 02 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 104 0 0 30 Mar 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 79 0 0 29 Mar 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection Jiayi Zhu Qing Guo Felix Juefei Xu Yihao Huang Yang Liu G. Pu DiffM AAML 23 1 0 27 Mar 2024
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks Tian Ye Rajgopal Kannan Viktor Prasanna Carl E. Busart AAML 67 1 0 27 Mar 2024
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids Emad Efatinasab Francesco Marchiori Alessandro Brighente M. Rampazzo Mauro Conti AAML 70 4 0 26 Mar 2024
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection Georgii Mikriukov Gesina Schwalbe Franz Motzkus Korinna Bade AAML 77 1 0 25 Mar 2024
DeepKnowledge: Generalisation-Driven Deep Learning Testing S. Missaoui Simos Gerasimou Nikolaos Matragkas 78 1 0 25 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 75 1 0 25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 2024
Robust optimization for adversarial learning with finite sample complexity guarantees André Bertolace Konstatinos Gatsis Kostas Margellos AAML 64 1 0 22 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 100 5 0 20 Mar 2024