publications
Sysyphuzz: the Pressure of More Coverage
A kernel fuzzer designed to boost exploration of under-tested code regions.
A kernel fuzzer designed to boost exploration of under-tested code regions.
Leveraging fuzzing to assist LLM agents with IoT firmware vulnerability discovery.
Improving LLM-based log parsing by learning from errors in reasoning traces.
A neural disassembler without structural constraint violations based on post-dominance relations.
An intelligent directed grey-box fuzzing solution with neural network guided input mutation.
A comprehensive benchmark for evaluating decompiler effectiveness in real-world reverse engineering scenarios.
A defense approach to enhance robustness of multi-agent systems against adversarial attacks.
A flexible framework for fine-grained, runtime-adaptive fuzzing strategy composition.
Clue framework achieves superior smart contract security analysis with high true positive rates and low false positive rates using Execution Property Graphs.
A novel framework for retrieving binary functions using natural language queries.
Enhancing JPEG compression via diffusion-based DC coefficients estimation method.
Targeted bit-flip attacks on vision transformers via scale factor manipulation.
A benchmark for semantic sensitive information in LLM’s outputs.
An engorgio prompt makes large language model babble on.