Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis

29 July 2022

Papers citing "Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis"

8 / 8 papers shown

Title
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing Haozhe Lei Yunfei Ge Quanyan Zhu AAML 26 0 0 31 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 23 5 0 22 Oct 2024
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks Tao Li Yunian Pan Quanyan Zhu AAML 21 5 0 02 Oct 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 26 10 0 23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report) Henger Li Tianyi Xu Tao Li Yunian Pan Quanyan Zhu Zizhan Zheng AAML FedML 19 1 0 23 Jun 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach Yunfei Ge Tao Li Quanyan Zhu AAML 26 18 0 06 Mar 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 133 1,198 0 16 Aug 2016