6 citations · 15 across the 7 of their papers we have counts for
8 papers
Verification-Guided Context Optimization for Tool Calling via Hierarchical LLMs-as-Editors
Henger Li, Shuangjie You, Flavio Di Palo +2
Tool calling enables large language models (LLMs) to interact with external environments through tool invocation, providing a practical way to overcome the limitations of pretraini…
Online Learning with Probing for Sequential User-Centric Selection
Tianyi Xu, Yiting Chen, Henger Li +3
We formalize sequential decision-making with information acquisition as the probing-augmented user-centric selection (PUCS) framework, where a learner first probes a subset of arms…
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li, Henger Li, Yunian Pan +3
Federated learning (FL) is susceptible to a range of security threats. Although various defense mechanisms have been proposed, they are typically non-adaptive and tailored to speci…
A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan, Tao Li, Henger Li +3
Previous research has shown that federated learning (FL) systems are exposed to an array of security risks. Despite the proposal of several defensive strategies, they tend to be no…
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
Henger Li, Tianyi Xu, Tao Li +3
Recent research efforts indicate that federated learning (FL) systems are vulnerable to a variety of security breaches. While numerous defense strategies have been suggested, they…
Learning to Backdoor Federated Learning
Henger Li, Chen Wu, Sencun Zhu +1
In a federated learning (FL) system, malicious participants can easily embed backdoors into the aggregated model while maintaining the model's performance on the main task. To this…
Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model
Henger Li, Wen Shen, Zizhan Zheng
Moving target defense has emerged as a critical paradigm of protecting a vulnerable system against persistent and stealthy attacks. To protect a system, a defender proactively chan…
Optimal Timing of Moving Target Defense: A Stackelberg Game Model
Henger Li, Zizhan Zheng
As an effective approach to thwarting advanced attacks, moving target defense (MTD) has been applied to various domains. Previous works on MTD, however, mainly focus on deciding th…