Input-Aware Dynamic Backdoor Attack

16 October 2020

Papers citing "Input-Aware Dynamic Backdoor Attack"

50 / 72 papers shown

Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 46 0 0 08 May 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain Y. Huang Mi Zhang Zekun Wang Wenxuan Li Min Yang AAML AI4TS 59 0 0 12 Mar 2025
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments Ajesh Koyatan Chathoth Stephen Lee 37 0 0 26 Jan 2025
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang Shuo He Bingquan Shen Lei Feng Lei Feng AAML 55 0 0 29 Dec 2024
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 53 1 0 17 Nov 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 29 3 0 20 Sep 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 33 2 0 15 Jul 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 46 6 0 18 Jun 2024
Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition Wenhan Yao Jiangkun Yang yongqiang He Jia Liu Weiping Wen 49 1 0 16 Jun 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 41 6 0 28 May 2024
Partial train and isolate, mitigate backdoor attack Yong Li Han Gao AAML 34 0 0 26 May 2024
LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning Beichen Li Yuanfang Guo Heqi Peng Yangxi Li Yun-an Wang 26 0 0 19 Apr 2024
End-to-End Anti-Backdoor Learning on Images and Time Series Yujing Jiang Xingjun Ma S. Erfani Yige Li James Bailey 40 1 0 06 Jan 2024
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 36 6 0 14 Dec 2023
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting Huming Qiu Junjie Sun Mi Zhang Xudong Pan Min Yang AAML 42 4 0 08 Dec 2023
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 68 1 0 03 Dec 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand Junfeng Guo Yiming Li Lixu Wang Shu-Tao Xia Heng-Chiao Huang Cong Liu Boheng Li 30 50 0 09 Oct 2023
Beating Backdoor Attack at Its Own Game Min Liu Alberto L. Sangiovanni-Vincentelli Xiangyu Yue AAML 65 11 0 28 Jul 2023
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training Dario Lazzaro Antonio Emanuele Cinà Maura Pintor Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo 27 6 0 01 Jul 2023
Re-thinking Data Availablity Attacks Against Deep Neural Networks Bin Fang Bo-wen Li Shuang Wu Ran Yi Shouhong Ding Lizhuang Ma AAML 35 0 0 18 May 2023
BadVFL: Backdoor Attacks in Vertical Federated Learning Mohammad Naseri Yufei Han Emiliano De Cristofaro FedML AAML 24 11 0 18 Apr 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 32 44 0 05 Apr 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder Tao Sun Lu Pang Chao Chen Haibin Ling AAML 43 9 0 27 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 45 5 0 19 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 25 0 07 Mar 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal Nishad Singhi Yu Yang Fan Yin Aditya Grover Kai-Wei Chang AAML 34 42 0 06 Mar 2023
Defending Against Backdoor Attacks by Layer-wise Feature Analysis N. Jebreel J. Domingo-Ferrer Yiming Li AAML 28 10 0 24 Feb 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 27 32 0 20 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data Gorka Abad Oguzhan Ersoy S. Picek A. Urbieta AAML 23 17 0 13 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 63 5 0 03 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 24 2 0 01 Feb 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense Shuyang Cheng Guanhong Tao Yingqi Liu Shengwei An Xiangzhe Xu ... Guangyu Shen Kaiyuan Zhang Qiuling Xu Shiqing Ma Xiangyu Zhang AAML 18 14 0 16 Jan 2023
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 13 33 0 18 Dec 2022
Backdoor Mitigation in Deep Neural Networks via Strategic Retraining Akshay Dhonthi E. M. Hahn Vahid Hashemi AAML 22 2 0 14 Dec 2022
Backdoor Cleansing with Unlabeled Data Lu Pang Tao Sun Haibin Ling Chao Chen AAML 37 18 0 22 Nov 2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform Nikolaus Drager Yonghao Xu Pedram Ghamisi AAML 23 13 0 15 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar Lingjuan Lyu Amir Houmansadr AAML 27 10 0 01 Nov 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 34 40 0 17 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 39 21 0 12 Oct 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 24 5 0 12 Oct 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe Yuhang Wang Huafeng Shi Rui Min Ruijia Wu Siyuan Liang Yichao Wu Ding Liang Aishan Liu AAML 37 7 0 12 Sep 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN Huy Phan Cong Shi Yi Xie Tian-Di Zhang Zhuohang Li Tianming Zhao Jian-Dong Liu Yan Wang Ying Chen Bo Yuan AAML 32 6 0 22 Aug 2022
Defense Against Multi-target Trojan Attacks Haripriya Harikumar Santu Rana Kien Do Sunil R. Gupta W. Zong Willy Susilo Svetha Venkatesh AAML 11 3 0 08 Jul 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 29 2 0 08 Jun 2022
BadDet: Backdoor Attacks on Object Detection Shih-Han Chan Yinpeng Dong Junyi Zhu Xiaolu Zhang Jun Zhou AAML 22 56 0 28 May 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 16 5 0 20 Apr 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 20 168 0 11 Apr 2022