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~ similar to 2603.26573v1· 19 results

cs.CRRecentApr 14, 2026

Tamper-Proofing with Self-Modifying Code

Gregory Morse, Tamás Kozsik

The paper proposes a tamper-proofing model for self-modifying code (SMC) by leveraging external timing, concurrency, and microarchitectural state to make non-SMC reproduction detectably expensive.

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cs.CRcs.LORecentMay 1, 2026

Zero-Knowledge Model Checking

Pascal Berrang, Mirco Giacobbe, Jacob Swales, Xiao Yang

The paper presents a novel technology that uses zero-knowledge proofs to formally verify a software system's correctness against a public specification without revealing the system's internal details.

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cs.CRcs.AIRecentApr 20, 2026

Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents

Wenpeng Xu

The paper formalizes TOCTOU vulnerabilities in GUI agents due to observation-to-action delays and proposes a layered defense, Pre-execution UI State Verification (PUSV), achieving high interception ra…

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cs.CRcs.PLRecentApr 18, 2026

DALC-CT: Dynamic Analysis of Low-Level Code Traces for Constant-Time Verification

Nges Brian Njungle, Edwin P. Kayang, Mishel J. Paul, Michel A. Kinsy

The paper proposes DALC-CT, a dynamic analysis tool that verifies the constant-time property of cryptographic code by comparing instruction mix distributions across multiple execution traces.

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cs.CCcs.CRRecentApr 8, 2026

Vulnerability Abundance: A formal proof of infinite vulnerabilities in code

Eireann Leverett, Jeroen van der Ham-de Vos

The paper provides a formal proof that a single C program can contain a countably infinite number of distinct, independently assignable software vulnerabilities, suggesting the set of all software vul…

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cs.SEcs.CRRecentMay 5, 2026

KVerus: Scalable and Resilient Formal Verification Proof Generation for Rust Code

Yuwei Liu, Xinyi Wan, Yanhao Wang, Minghua Wang +2 more

KVerus is a retrieval-augmented system that significantly improves the scalability and resilience of formal verification for Rust code by managing complex cross-module dependencies and adapting to cod…

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cs.LGcs.AIcs.DCRecentJun 1, 2026

Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure

Jun He, Deying Yu

The paper introduces Post-Deterministic Distributed Systems (PDDS) as a new model to coordinate autonomous infrastructure where participants, including stochastic agents, produce divergent reasoning p…

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cs.CRcs.SERecentMay 19, 2026

SCARA: A Semantics-Constrained Autonomous Remediation Agent for Opaque Industrial Software Vulnerabilities

Bowei Ning, Xuejun Zong, Lian Lian, Kan He +3 more

SCARA is a novel, end-to-end framework that autonomously connects binary-level vulnerability candidates to conditionally validated remedies for opaque industrial software, achieving high precision and…

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cs.CRRecentMar 20, 2026

Constraint Migration: A Formal Theory of Throughput in AI Cybersecurity Pipelines

Surasak Phetmanee

The paper develops a formal theory to analyze how throughput changes in AI-enhanced cybersecurity pipelines when stage capacities are perturbed by multipliers.

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cs.CRcs.SEquant-phRecentApr 8, 2026

Broken Quantum: A Systematic Formal Verification Study of Security Vulnerabilities Across the Open-Source Quantum Computing Simulator Ecosystem

Dominik Blain

The paper presents Broken Quantum, a comprehensive formal security audit that identifies 547 security vulnerabilities across 45 open-source quantum computing simulators, revealing critical flaws in me…

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cs.AIcs.CRRecentApr 19, 2026

From Admission to Invariants: Measuring Deviation in Delegated Agent Systems

Marcelo Fernandez

The paper proves that standard runtime enforcement mechanisms cannot detect systematic behavioral drift in autonomous agents, proposing a new Invariant Measurement Layer (IML) that restores observabil…

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cs.LOcs.AIcs.CRRecentApr 19, 2026

Atomic Decision Boundaries: A Structural Requirement for Guaranteeing Execution-Time Admissibility in Autonomous Systems

Marcelo Fernandez

The paper introduces the concept of the atomic decision boundary, proving that for autonomous systems to guarantee execution-time admissibility, the decision and the resulting state transition must oc…

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cs.CRcs.AIcs.SERecentJun 3, 2026

Description-Code Inconsistency in Real-world MCP Servers: Measurement, Detection, and Security Implications

Yutao Shi, Xiaohan Zhang, Xiangjing Zhang, Xihua Shen +4 more

This paper investigates Description-Code Inconsistency (DCI) in Model Context Protocol (MCP) servers, finding that 9.93% of real-world tools exhibit inconsistencies that create security blind spots.

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cs.CRcs.NIcs.SERecentMay 6, 2026

AFL-ICP: Enhancing Industrial Control Protocol Reliability via Specification-Guided Fuzzing

Jiaying Meng, Xuewei Feng, Qi Li, Min Liu +1 more

AFL-ICP is a novel specification-driven fuzzing framework that significantly enhances the security testing of industrial control protocols by detecting subtle semantic and logic bugs missed by traditi…

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cs.ARcs.CRRecentMay 13, 2026

PoisonCap: Efficient Hierarchical Temporal Safety for CHERI

Yuecheng Wang, Jonathan Woodruff, Alfredo Mazzinghi, Peter Rugg +4 more

PoisonCap introduces a new 'poison' capability format for CHERI systems to provide efficient, strict use-after-free and initialization safety, surpassing existing temporal safety solutions.

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cs.CLcs.DSRecentMay 29, 2026

Incremental BPE Tokenization

Shenghu Jiang, Ruihao Gong

The paper introduces an efficient, novel algorithm for incremental Byte Pair Encoding (BPE) tokenization that processes input text prefix by prefix, achieving significant speedups and enabling streami…

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cs.CRcs.AIcs.MARecentMay 3, 2026

Architectural Obsolescence of Unhardened Agentic-AI Runtimes

Alfredo Metere

The paper demonstrates that current agentic-AI runtimes are fundamentally insecure and architecturally obsolete because they fail to detect critical safety failures, proposing a superior, hardened alt…

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cs.CRcs.LORecentMay 4, 2026

Differentially Private Runtime Monitoring

Bernd Finkbeiner, Frederik Scheerer

The paper proposes a novel method to automatically enforce differential privacy in stream-based runtime monitoring specifications by analyzing temporal dependencies and injecting calibrated noise.

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