Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

22 November 2019

Lawrence Carin

Papers citing "Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction"

46 / 46 papers shown

Title
Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations Yahsin Yeh Yilun Wu Bokai Ruan Honghan Shuai AAML 32 0 0 17 Aug 2025
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems Qingyuan Zeng Shu Jiang Jiajing Lin Zhenzhong Wang Kay Chen Tan Min Jiang AAML 30 0 0 10 Aug 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 397 0 0 04 Feb 2025
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics Georgii Gotin E. Shumitskaya Anastasia Antsiferova D. Vatolin AAML 165 0 0 14 Jan 2025
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks Teng Li Jiabo He Yu-Gang Jiang AAML DiffM 244 0 0 03 Jan 2025
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers Weijie Zheng Jiabo He Hanxun Huang Zuxuan Wu Yu-Gang Jiang AAML 143 0 0 03 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 202 8 0 30 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 251 8 0 30 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift Qingyuan Zeng Yunpeng Gong Min Jiang AAML 118 7 0 18 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 238 10 0 14 Jul 2024
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens Xikang Yang Xuehai Tang Fuqing Zhu Jizhong Han Songlin Hu VLM AAML 117 3 0 19 Jun 2024
Adversarial Attacks on Hidden Tasks in Multi-Task Learning Yu Zhe Rei Nagaike Daiki Nishiyama Kazuto Fukuchi Jun Sakuma AAML 130 1 0 24 May 2024
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? Anjun Hu Jindong Gu Francesco Pinto Konstantinos Kamnitsas Juil Sock AAML SILM 126 7 0 19 Mar 2024
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models Haochen Luo Jindong Gu Fengyuan Liu Juil Sock VLM VPVLM AAML 134 28 0 14 Mar 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Yuan Liu Han Liu Jinghui Chen Ting Wang Fenglong Ma OOD AAML 88 3 0 16 Feb 2024
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies Feng Wang M. C. Gursoy Senem Velipasalar AAML 66 1 0 19 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Yang Liu Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Simeng Qin Juil Sock AAML 197 40 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 179 7 0 26 Oct 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Tianyu Du Jinguo Zhu Han Liu Jinghui Chen Ting Wang Fenglong Ma AAML VLM CoGe 153 54 0 07 Oct 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen Hechang Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 170 93 0 14 May 2023
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations Tony Ma Songze Li Yisong Xiao Shunchang Liu 80 2 0 11 Apr 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai Hechang Chen AAML MedIm 166 25 0 24 Mar 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Juil Sock Jiaya Jia AAML 79 3 0 11 Dec 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 150 26 0 07 Oct 2022
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture Hui Xia Rui Zhang Shuliang Jiang Zizi Kang AAML 73 0 0 22 Jun 2022
SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors? Hui Xia Rui Zhang Zizi Kang Shuliang Jiang AAML 65 0 0 22 Jun 2022
Adversarially robust segmentation models learn perceptually-aligned gradients Pedro Sandoval-Segura 84 0 0 03 Apr 2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun Seungju Cho Myung-Joon Kwon Heeseon Kim Changick Kim AAML DiffM 89 76 0 17 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 225 21 0 09 Mar 2022
Adversarial samples for deep monocular 6D object pose estimation Jinlai Zhang Weiming Li Shuang Liang Hongya Wang Jihong Zhu AAML 131 3 0 01 Mar 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey Ngoc Dung Huynh Mohamed Reda Bouadjenek Imran Razzak Kevin Lee Chetan Arora Ali Hassani A. Zaslavsky AAML 109 7 0 22 Feb 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 223 72 0 27 Jan 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection Yaning Tan Baoyuan Wu Yanbo Fan Xingxing Wei Xiaochun Cao AAML 168 86 0 22 Jan 2022
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems Islam Debicha Thibault Debatty Jean-Michel Dricot Wim Mees Tayeb Kenaza AAML 44 9 0 22 Dec 2021
Cross-Modal Transferable Adversarial Attacks from Images to Videos Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 132 44 0 10 Dec 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 182 12 0 25 Oct 2021
Adversarial Attack across Datasets Yunxiao Qin Yuanhao Xiong Jinfeng Yi Lihong Cao Cho-Jui Hsieh AAML 131 3 0 13 Oct 2021
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy Ruikui Wang Yuanfang Guo Ruijie Yang Yunhong Wang AAML 95 3 0 16 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 283 260 0 01 Aug 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 167 233 0 29 Jul 2021
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich Kevin J. Liang Jingyang Zhang Huanrui Yang Xue Yang Yiran Chen AAML 70 5 0 17 Mar 2021
Black-box Adversarial Attacks in Autonomous Vehicle TechnologyInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2023 K. N. Kumar Vishnu Chalavadi Reshmi Mitra C.Krishna Mohan AAML 94 72 0 15 Jan 2021
Adversarial collision attacks on image hashing functions Brian Dolhansky Cristian Canton Ferrer AAML 148 21 0 18 Nov 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack TransferabilityNeural Information Processing Systems (NeurIPS), 2025 Nathan Inkawhich Kevin J. Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 122 96 0 29 Apr 2020
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction Ziyi Zhao Zhao Jin Wentian Bai Wentan Bai Carlos Caicedo M. C. Gursoy Qinru Qiu 66 0 0 22 Mar 2020
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles Yilan Li Senem Velipasalar AAML 93 8 0 25 Jan 2020