most citedChaff Bugs: Deterring Attackers by Making Software Buggier

10 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer

Jintao Huang, Xiaomin Li, Gaurav Mittal +1

The rapid proliferation of Agent Development Kits (ADKs), SDK-level frameworks for building LLM-powered autonomous agents, has outpaced any empirical understanding of how framework…

cs.SE2026

AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation

Priyam Sahoo, Gaurav Mittal, Xiaomin Li +4

Evaluation of software engineering (SWE) agents is dominated by a binary signal: whether the final patch passes the tests. This outcome-only view treats a principled solution and a…

cs.LG2026

Multi-Rollout On-Policy Distillation via Peer Successes and Failures

Weichen Yu, Xiaomin Li, Yizhou Zhao +8

Large language models are often post-trained with sparse verifier rewards, which indicate whether a sampled trajectory succeeds but provide limited guidance about where reasoning s…

cs.AI2026

Learning Correct Behavior from Examples: Validating Sequential Execution in Autonomous Agents

Reshabh K Sharma, Gaurav Mittal, Yu Hu

As autonomous agents become increasingly sophisticated, validating their sequential behavior presents a significant challenge. Traditional testing approaches require manual specifi…

cs.CR2018★ 10 cited

Chaff Bugs: Deterring Attackers by Making Software Buggier

Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt

Sophisticated attackers find bugs in software, evaluate their exploitability, and then create and launch exploits for bugs found to be exploitable. Most efforts to secure software…