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AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

30 May 2018

Papers citing "AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks"

50 / 215 papers shown

Title
FlowOpt: Fast Optimization Through Whole Flow Processes for Training-Free Editing Or Ronai Vladimir Kulikov T. Michaeli 36 0 0 24 Oct 2025
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning Wanhao Yu Zheng Wang Shuteng Niu Sen Lin Li Yang CLL 56 0 0 23 Oct 2025
Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Hongye Wang Zhaoye Pan Chang He Jiaxiang Li Bo Jiang 76 1 0 30 Jul 2025
ChainMarks: Securing DNN Watermark with Cryptographic ChainACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Brian Choi Shu Wang Isabelle Choi Kun Sun 195 0 0 08 May 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 219 0 0 17 Mar 2025
ZOQO: Zero-Order Quantized OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Noga Bar Raja Giryes MQ 41 1 0 12 Jan 2025
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization Keisuke Sugiura Hiroki Matsutani MQ 154 3 0 08 Jan 2025
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 266 3 0 30 Nov 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng Zhang MQ 208 3 0 07 Nov 2024
One-Index Vector Quantization Based Adversarial Attack on Image ClassificationPattern Recognition Letters (PR), 2024 Haiju Fan Xiaona Qin Shuang Chen Hubert P. H. Shum Ming Li 98 1 0 02 Sep 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt TuningACM Multimedia (MM), 2024 Xin Wang Kai-xiang Chen Jiabo He Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 197 9 0 04 Aug 2024
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis Cristian-Alexandru Botocan Raphael Meier Ljiljana Dolamic AAML 92 0 0 25 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images Mingyuan Fan Yang Liu Cen Chen Ximeng Liu AAML 79 0 0 13 Jul 2024
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles Dongfang Guo Yuting Wu Yimin Dai Pengfei Zhou Xin Lou Rui Tan 95 12 0 10 Jul 2024
$L_p$ -norm Distortion-Efficient Adversarial Attack Chao Zhou Yuan-Gen Wang Zi-Jia Wang Xiangui Kang 109 0 0 03 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers Chao Zhou Xiaowen Shi Yuan-Gen Wang ViT AAML 115 0 0 29 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 92 1 0 20 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 151 6 0 29 May 2024
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient Hao Di Haishan Ye Yueling Zhang Xiangyu Chang Guang Dai Ivor W. Tsang 223 1 0 28 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain Keng-Hsin Liao Chin-Yuan Yeh Hsi-Wen Chen Ming-Syan Chen 122 0 0 10 May 2024
Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations Xuyang Zhong Yixiao Huang Chen Liu AAML 53 0 0 08 May 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 114 3 0 16 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 166 10 0 08 Apr 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 161 4 0 29 Mar 2024
Hard-label based Small Query Black-box Adversarial AttackIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Jeonghwan Park Paul Miller Niall McLaughlin MLAU 91 10 0 09 Mar 2024
Verification of Neural Networks' Global Robustness Anan Kabaha Dana Drachsler-Cohen AAML OOD 191 11 0 29 Feb 2024
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Yong Liu Zirui Zhu Chaoyu Gong Minhao Cheng Cho-Jui Hsieh Yang You MoE 133 32 0 24 Feb 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark Yihua Zhang Pingzhi Li Junyuan Hong Jiaxiang Li Yimeng Zhang ... Wotao Yin Mingyi Hong Zhangyang Wang Sijia Liu Tianlong Chen 273 91 0 18 Feb 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei Karthikeyan N. Ramamurthy FAtt 232 3 0 17 Feb 2024
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation Zixian Guo Yuxiang Wei Ming-Yu Liu Zhilong Ji Jinfeng Bai Yiwen Guo Wangmeng Zuo VLM 128 9 0 26 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 108 0 0 12 Dec 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 252 7 0 26 Oct 2023
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion ModelsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Renyang Liu Wei Zhou Tianwei Zhang Kangjie Chen Jun Zhao Kwok-Yan Lam 139 17 0 11 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Yongfeng Zhang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 141 8 0 08 Oct 2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models Zihao Lin Yan Sun Yifan Shi Xueqian Wang Lifu Huang Li Shen Dacheng Tao 144 13 0 04 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingInternational Conference on Learning Representations (ICLR), 2023 Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng Zhang B. Kailkhura Sijia Liu 360 72 0 03 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial AttacksACM Computing Surveys (ACM Comput. Surv.), 2023 Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 152 26 0 01 Oct 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box AttacksBritish Machine Vision Conference (BMVC), 2023 Jindong Gu Fangyun Wei Juil Sock Han Hu AAML 103 1 0 12 Sep 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud AttackIEEE International Conference on Computer Vision (ICCV), 2023 Yunbo Tao Daizong Liu Pan Zhou Yulai Xie Wei Du Wei Hu 3DPC AAML 135 24 0 15 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 99 5 0 01 Aug 2023
Multi-stage Neural Networks: Function Approximator of Machine PrecisionJournal of Computational Physics (JCP), 2023 Yongjian Wang Ching-Yao Lai 135 69 0 18 Jul 2023
Boosting Model Inversion Attacks with Adversarial ExamplesIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Shuai Zhou Tianqing Zhu Dayong Ye Xin Yu Wanlei Zhou AAML MIACV 109 23 0 24 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and BenchmarkingJournal of remote sensing (JRS), 2023 Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 210 12 0 21 Jun 2023
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance Hao Zhang Chi Man Pun Xia Du AAML 74 1 0 20 Jun 2023
Improving Adversarial Transferability via Intermediate-level Perturbation DecayNeural Information Processing Systems (NeurIPS), 2023 Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 199 29 0 26 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 209 7 0 13 Apr 2023
Ensemble-based Blackbox Attacks on Dense PredictionComputer Vision and Pattern Recognition (CVPR), 2023 Zikui Cai Yaoteng Tan M. Salman Asif AAML 115 26 0 25 Mar 2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint Ziang Yan Shusen Wang Guorui Zhou Jingjian Lin Peng Jiang OffRL 67 9 0 09 Feb 2023
Generalizable Black-Box Adversarial Attack with Meta LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 159 42 0 01 Jan 2023
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 101 4 0 28 Dec 2022