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Scoured 3171 posts in 13.1 ms
SeqShield: A Behavioral Analysis Approach to Uncover Rootkits  🦠Malware Analysis
arxiv.org·2d
Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations  🛡️Exploit Mitigations
arxiv.org·3d
Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery  📜Decompilation
arxiv.org·2d
Less Is More: Measuring How LLM Involvement affects Chatbot Accuracy in Static Analysis  ⚡JIT Exploitation
arxiv.org·6d
Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware  🐧Kernel Exploitation
arxiv.org·2d
GoAT-X: A Graph of Auditing Thoughts for Securing Token Transactions in Cross-Chain Contracts  ⛓️ROP Chains
arxiv.org·2d
CrossCommitVuln-Bench: A Dataset of Multi-Commit Python Vulnerabilities Invisible to Per-Commit Static Analysis  ⚡JIT Exploitation
arxiv.org·6d
Hybrid Path-Sums for Hybrid Quantum Programs  🧮Symbolic Execution
arxiv.org·2d
Mono2Sls: Automated Monolith-to-Serverless Migration via Multi-Stage Pipeline with Static Analysis  🔣Type Systems
arxiv.org·2d
Incisor: Ex Ante Cloud Instance Selection for HPC Jobs  🛡️Exploit Mitigations
arxiv.org·2d
eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem  📟Firmware Analysis
arxiv.org·21h
Beyond Code Reasoning: A Specification-Anchored Audit Framework for Expert-Augmented Security Verification  ✅Formal Verification
arxiv.org·21h
Recipes for Calibration Checks in Safety-Critical Applications  🎲Fuzzing
arxiv.org·21h
GenDetect: Generalizing Reactive Detection for Resilience Against Imitative DeFi Attack Cascade  🛡️Exploit Mitigations
arxiv.org·21h
VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection  ⚡JIT Exploitation
arxiv.org·21h
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs  🎲Fuzzing
arxiv.org·21h
Inferring Equivalence Classes from Legacy Undocumented Embedded Binaries for ISO 26262-Compliant Testing  🖥️Emulation
arxiv.org·3d
Fast Core Identification  🔒CFI
arxiv.org·21h
An Empirical Study of Speculative Decoding on Software Engineering Tasks  ⚡JIT Exploitation
arxiv.org·21h
Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets  ⚡JIT Exploitation
arxiv.org·3d

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