4 papers
Poisoned into Action: Context Attacks on Typed Decision Workflows
Chenkai Wu, Xing Chang, Jun Yan
Typed decision interfaces restrict models to predefined actions, yet schema-valid choices can still trigger policy-violating state changes. Evaluating context poisoning thus requir…
RefPentester: A Knowledge-Informed Self-Reflective Penetration Testing Framework Based on Large Language Models
Hanzheng Dai, Yuanliang Li, Jun Yan +1
Automated penetration testing (AutoPT) powered by large language models (LLMs) has gained attention for its ability to automate ethical hacking processes and identify vulnerabiliti…
Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market
Jun Jiang, Yuanliang Li, Luyang Hou +4
With the large number of prosumers deploying distributed energy resources (DERs), integrating these prosumers into a transactive energy market (TEM) is a trend for the future smart…
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
Yuanliang Li, Hanzheng Dai, Jun Yan
Automated penetration testing (AutoPT) based on reinforcement learning (RL) has proven its ability to improve the efficiency of vulnerability identification in information systems.…