Charles Averill, Ilan Buzzetti (The University of Texas at Dallas), Alex Bellon (UC San Diego), Kevin Hamlen (The University of Texas at Dallas)

LAPSE is a new framework for developing faulttolerant correctness proofs for near-arbitrary native code. It lifts binary code into an intermediate representation (IR) whose operational semantics admit hardware faults. LAPSE implements a machine-verified symbolic execution engine for the resulting IR within the Rocq automated theorem proving framework, creating a proof environment in which the space of possible executions includes all potential fault possibilities. To cope with the increase in proof space, automation tools succinctly describe and reason about the desired fault model. An implementation for 32-bit RISC-V semantics and evaluation on security-critical cryptographic subroutines from OpenSSL and BearSSL demonstrates that fault-aware proofs can be constructed from standard correctness proofs with little additional work, often requiring no novel proof techniques. The results show that developing fault-tolerant correctness proofs is not only feasible, but rote for certain kinds of fault-tolerant programs.

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NeuroStrike: Neuron-Level Attacks on Aligned LLMs

Lichao Wu (Technical University of Darmstadt), Sasha Behrouzi (Technical University of Darmstadt), Mohamadreza Rostami (Technical University of Darmstadt), Maximilian Thang (Technical University of Darmstadt), Stjepan Picek (University of Zagreb & Radboud University), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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BINALIGNER: Aligning Binary Code for Cross-Compilation Environment Diffing

Yiran Zhu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Tong Tang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Jie Wan (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Ziqi Yang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University; Hangzhou High-Tech Zone…

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Understanding the Status and Strategies of the Code Signing...

Hanqing Zhao (Tsinghua University & QI-ANXIN Technology Research Institute), Yiming Zhang (Tsinghua University), Lingyun Ying (QI-ANXIN Technology Research Institute), Mingming Zhang (Zhongguancun Laboratory), Baojun Liu (Tsinghua University), Haixin Duan (Tsinghua University), Zi-Quan You (Tsinghua University), Shuhao Zhang (QI-ANXIN Technology Research Institute)

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