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Found 4 papers, 2 papers with code
Federated Learning with Projected Trajectory Regularization
Specifically, FedPTR allows local clients or the server to optimize an auxiliary (synthetic) dataset that mimics the learning dynamics of the recent model update and utilizes it to project the next-step model trajectory for local training regularization.
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
In this work, we show that it is possible to conduct stealthy and persistent unalignment on large language models via backdoor injections.
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
In this work, we introduce a Robustly Aligned LLM (RA-LLM) to defend against potential alignment-breaking attacks.
RLCard: A Toolkit for Reinforcement Learning in Card Games
The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse reward.
