Design of intentional backdoors in sequential models

Design of intentional backdoors in sequential models

26 February 2019

Papers citing "Design of intentional backdoors in sequential models"

9 / 9 papers shown

Title
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning Oubo Ma L. Du Yang Dai Chunyi Zhou Qingming Li Yuwen Pu Shouling Ji 46 0 0 28 Jan 2025
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 46 4 0 30 May 2024
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving Yinbo Yu Jiajia Liu 18 1 0 22 Nov 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 21 7 0 07 Oct 2022
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning Yinbo Yu Jiajia Liu Shouqing Li Ke Huang Xudong Feng AAML 39 11 0 05 May 2022
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 27 270 0 18 Dec 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
A backdoor attack against LSTM-based text classification systems Jiazhu Dai Chuanshuai Chen SILM 8 318 0 29 May 2019