Detecting AI Trojans Using Meta Neural Analysis

8 October 2019

Papers citing "Detecting AI Trojans Using Meta Neural Analysis"

50 / 196 papers shown

Title
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection Haoyu Jiang Haiyang Yu Nan Li Ping Yi 33 0 0 04 Dec 2023
A Unified Hardware-based Threat Detector for AI Accelerators Xiaobei Yan Han Qiu Tianwei Zhang 16 2 0 28 Nov 2023
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift Shengwei An Sheng-Yen Chou Kaiyuan Zhang Qiuling Xu Guanhong Tao ... Shuyang Cheng Shiqing Ma Pin-Yu Chen Tsung-Yi Ho Xiangyu Zhang DiffM AAML 41 28 0 27 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems Jung-Woo Chang Ke Sun Nasimeh Heydaribeni Seira Hidano Xinyu Zhang F. Koushanfar AAML 17 1 0 01 Nov 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots Ruixiang Tang Jiayi Yuan Yiming Li Zirui Liu Rui Chen Xia Hu AAML 36 13 0 28 Oct 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers Wencong You Zayd Hammoudeh Daniel Lowd AAML 32 12 0 28 Oct 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 42 14 0 26 Oct 2023
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks Xinglong Chang Katharina Dost Gill Dobbie Jörg Simon Wicker AAML 28 0 0 24 Oct 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 46 10 0 20 Oct 2023
Prompt Backdoors in Visual Prompt Learning Hai Huang Zhengyu Zhao Michael Backes Yun Shen Yang Zhang VLM VPVLM AAML SILM 43 2 0 11 Oct 2023
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense Hua Ma Shang Wang Yansong Gao Zhi-Li Zhang Huming Qiu Minhui Xue A. Abuadbba Anmin Fu Surya Nepal Derek Abbott AAML 29 6 0 01 Oct 2023
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review Pengzhou Cheng Zongru Wu Wei Du Haodong Zhao Wei Lu Gongshen Liu SILM AAML 37 18 0 12 Sep 2023
Dropout Attacks Andrew Yuan Alina Oprea Cheng Tan 30 0 0 04 Sep 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks Arezoo Rajabi Surudhi Asokraj Feng-Shr Jiang Luyao Niu Bhaskar Ramasubramanian J. Ritcey Radha Poovendran AAML 29 1 0 30 Aug 2023
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie Xiangyu Qi Ping He Yiming Li Jiachen T. Wang Prateek Mittal AAML 28 9 0 23 Aug 2023
Backdoor Mitigation by Correcting the Distribution of Neural Activations Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 13 0 0 18 Aug 2023
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection Hang Wang Zhen Xiang David J. Miller G. Kesidis AAML 11 2 0 08 Aug 2023
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Xinyue Shen Zhenpeng Chen Michael Backes Yun Shen Yang Zhang SILM 40 250 0 07 Aug 2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP Lu Yan Zhuo Zhang Guanhong Tao Kaiyuan Zhang Xuan Chen Guangyu Shen Xiangyu Zhang AAML SILM 62 16 0 04 Aug 2023
Backdoor Attacks against Voice Recognition Systems: A Survey Baochen Yan Jiahe Lan Zheng Yan AAML 30 8 0 23 Jul 2023
Towards Deep Network Steganography: From Networks to Networks Guobiao Li Sheng Li Meiling Li Zhenxing Qian Xinpeng Zhang FedML 30 5 0 07 Jul 2023
Tools for Verifying Neural Models' Training Data Dami Choi Yonadav Shavit David Duvenaud MIALM 24 14 0 02 Jul 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 39 11 0 13 Jun 2023
UMD: Unsupervised Model Detection for X2X Backdoor Attacks Zhen Xiang Zidi Xiong Bo-wen Li AAML 32 20 0 29 May 2023
Reconstructive Neuron Pruning for Backdoor Defense Yige Li X. Lyu Xingjun Ma Nodens Koren Lingjuan Lyu Bo-wen Li Yugang Jiang AAML 37 43 0 24 May 2023
Backdoor Attack with Sparse and Invisible Trigger Yinghua Gao Yiming Li Xueluan Gong Zhifeng Li Shutao Xia Qianqian Wang AAML 13 20 0 11 May 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 24 3 0 17 Apr 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 39 44 0 05 Apr 2023
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency Xiaogeng Liu Minghui Li Haoyu Wang Shengshan Hu Dengpan Ye Hai Jin Libing Wu Chaowei Xiao AAML 27 38 0 27 Mar 2023
Detecting Backdoors in Pre-trained Encoders Shiwei Feng Guanhong Tao Shuyang Cheng Guangyu Shen Xiangzhe Xu Yingqi Liu Kaiyuan Zhang Shiqing Ma Xiangyu Zhang 82 48 0 23 Mar 2023
Manipulating Transfer Learning for Property Inference Yulong Tian Fnu Suya Anshuman Suri Fengyuan Xu David Evans AAML 31 6 0 21 Mar 2023
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection Ka-Ho Chow Ling Liu Wenqi Wei Fatih Ilhan Yanzhao Wu AAML FedML 19 10 0 21 Mar 2023
Backdoor Defense via Deconfounded Representation Learning Zaixin Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu AAML 57 40 0 13 Mar 2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases Chong Fu Xuhong Zhang S. Ji Ting Wang Peng Lin Yanghe Feng Jianwei Yin AAML 43 10 0 28 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
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering Rui Zhu Di Tang Siyuan Tang Guanhong Tao Shiqing Ma Xiaofeng Wang Haixu Tang DD 23 3 0 29 Jan 2023
Distilling Cognitive Backdoor Patterns within an Image Hanxun Huang Xingjun Ma S. Erfani James Bailey AAML 34 24 0 26 Jan 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 24 15 0 16 Jan 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 26 65 0 06 Jan 2023
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models H. Aghakhani Wei Dai Andre Manoel Xavier Fernandes Anant Kharkar Christopher Kruegel Giovanni Vigna David Evans B. Zorn Robert Sim SILM 29 33 0 06 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 42 28 0 03 Jan 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 33 75 0 29 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
Learned Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 14 2 0 20 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 13 34 0 18 Dec 2022
Holistic risk assessment of inference attacks in machine learning Yang Yang SILM AAML MIACV 30 2 0 15 Dec 2022
Dissecting Distribution Inference Anshuman Suri Yifu Lu Yanjin Chen David Evans 30 14 0 15 Dec 2022
AI Model Utilization Measurements For Finding Class Encoding Patterns P. Bajcsy Antonio Cardone Chenyi Ling Philippe Dessauw Michael Majurski Timothy Blattner D. Juba Walid Keyrouz 35 0 0 12 Dec 2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang Xiaofeng Wang Haixu Tang AAML FedML 37 13 0 09 Dec 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning Jinghuai Zhang Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong AAML 35 20 0 15 Nov 2022