v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,385 papers shown

Title
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 69 8 0 14 Dec 2023
Diffusion-C: Unveiling the Generative Challenges of Diffusion Models through Corrupted Data Keywoong Bae Suan Lee Wookey Lee DiffM 61 1 0 14 Dec 2023
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection Xiangtao Meng Li Wang Shanqing Guo Lei Ju Qingchuan Zhao AAML 60 8 0 14 Dec 2023
Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection Samrat Mukherjee Dibyanayan Bandyopadhyay Baban Gain Asif Ekbal AAML MedIm FedML 35 0 0 13 Dec 2023
Efficient Representation of the Activation Space in Deep Neural Networks Tanya Akumu C. Cintas G. Tadesse Adebayo Oshingbesan Skyler Speakman E. McFowland AAML 66 1 0 13 Dec 2023
PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs Mark Turner Antonia Chmiela Thorsten Koch Michael Winkler AI4CE 102 9 0 13 Dec 2023
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models Feifei Wang Zhentao Tan Tianyi Wei Yue-bo Wu Qidong Huang DiffM 107 13 0 13 Dec 2023
Radio Signal Classification by Adversarially Robust Quantum Machine Learning Yanqiu Wu E. Adermann Chandra Thapa S. Çamtepe Hajime Suzuki Muhammad Usman AAML 61 3 0 13 Dec 2023
Robust MRI Reconstruction by Smoothed Unrolling (SMUG) Shijun Liang Van Hoang Minh Nguyen Jinghan Jia Ismail Alkhouri Sijia Liu S. Ravishankar 75 1 0 12 Dec 2023
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems Michael Lanier Aayush Dhakal Zhexiao Xiong Arthur Li Nathan Jacobs Yevgeniy Vorobeychik 118 0 0 12 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 63 0 0 12 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training Qian Li Yuxiao Hu Yinpeng Dong Dong-juan Zhang Yuntian Chen AAML 75 3 0 12 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 77 0 0 12 Dec 2023
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack Yu Fu Yufei Li Wen Xiao Cong Liu Yue Dong AAML 105 5 0 12 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 78 5 0 11 Dec 2023
Adversarial Camera Patch: An Effective and Robust Physical-World Attack on Object Detectors Kalibinuer Tiliwalidi AAML 91 2 0 11 Dec 2023
Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections Zheyu Yan X. Hu Yiyu Shi AAML 69 1 0 11 Dec 2023
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity Xudong Li Timin Gao R. Hu Yan Zhang Shengchuan Zhang ... Yunhang Shen Ke Li Yutao Liu Pingyang Dai Rongrong Ji AAML 84 2 0 11 Dec 2023
Data-Free Hard-Label Robustness Stealing Attack Xiaojian Yuan Kejiang Chen Wen Huang Jie Zhang Weiming Zhang Neng H. Yu AAML 74 5 0 10 Dec 2023
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen Hao Zhang Fang Li Lu Qi Ming-Hsuan Yang Narendra Ahuja 108 11 0 09 Dec 2023
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation Shiji Zhao Xizhe Wang Xingxing Wei 66 3 0 09 Dec 2023
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models S. Hemati Mahdi Beitollahi A. Estiri Bassel Al Omari Xi Chen Guojun Zhang 69 7 0 08 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts Timo Freiesleben NAI 83 1 0 08 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 77 12 0 08 Dec 2023
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems Mathew J. Walter Aaron Barrett Kimberly Tam 96 8 0 08 Dec 2023
Damage GAN: A Generative Model for Imbalanced Data Ali Anaissi Yuanzhe Jia Ali Braytee M. Naji Widad Alyassine GAN 57 1 0 08 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 124 0 0 08 Dec 2023
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation Hui Xie Weiyu Xu Ya Xing Wang John Buatti Xiaodong Wu SSeg 58 1 0 07 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 169 2 0 07 Dec 2023
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization Dongchen Han Xiaojun Jia Yang Bai Jindong Gu Yang Liu Xiaochun Cao VLM 88 26 0 07 Dec 2023
Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks Xiaobei Yan Chip Hong Chang Tianwei Zhang AAML 74 1 0 07 Dec 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training Jaehyung Kim Yuning Mao Rui Hou Hanchao Yu Davis Liang Pascale Fung Qifan Wang Fuli Feng Lifu Huang Madian Khabsa AAML 77 4 0 07 Dec 2023
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 49 1 0 06 Dec 2023
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks Xuanimng Cui Alejandro Aparcedo Young Kyun Jang Ser-Nam Lim AAML VLM 97 47 0 06 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 82 23 0 06 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 110 2 0 06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 107 0 0 05 Dec 2023
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers Tian Ye Rajgopal Kannan Viktor Prasanna Carl E. Busart Lance M. Kaplan 63 5 0 05 Dec 2023
Scaling Laws for Adversarial Attacks on Language Model Activations Stanislav Fort 71 16 0 05 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 60 0 0 05 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 103 7 0 05 Dec 2023
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra Manolis Zampetakis Paul Kassianik Blaine Nelson Hyrum Anderson Yaron Singer Amin Karbasi 109 273 0 04 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models Xunguang Wang Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang MLLM 96 14 0 04 Dec 2023
Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness Guanlin Li Naishan Zheng Man Zhou Jie Zhang Tianwei Zhang AAML 60 0 0 04 Dec 2023
Rethinking Adversarial Training with Neural Tangent Kernel Guanlin Li Han Qiu Shangwei Guo Jiwei Li Tianwei Zhang AAML 147 0 0 04 Dec 2023
Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 169 5 0 04 Dec 2023
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection Matthew Lau Ismaila Seck Athanasios P. Meliopoulos Wenke Lee Eugène Ndiaye 58 3 0 03 Dec 2023
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving Bo Yang Xiaoyu Ji Zizhi Jin Yushi Cheng Wei Dong 3DPC AAML 60 2 0 03 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 107 1 0 03 Dec 2023
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation Xiaojun Jia Jindong Gu Yihao Huang Simeng Qin Qing Guo Yang Liu Xiaochun Cao 77 4 0 03 Dec 2023