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arXiv:2604.00702v1 Announce Type: cross Abstract: Due to their widespread use in industry, several techniques have been proposed in the literature to fuzz REST APIs. Existing fuzzers for REST APIs hav…
arXiv:2604.00657v1 Announce Type: cross Abstract: Smart contracts are self-executing programs that manage financial transactions on blockchain networks. Developers commonly rely on third-party code li…
arXiv:2604.00430v1 Announce Type: cross Abstract: Large language model (LLM)-based agents have recently gained considerable attention due to the powerful reasoning capabilities of LLMs. Existing resea…
arXiv:2604.01194v1 Announce Type: new Abstract: Large language models (LLMs) and their applications, such as agents, are highly vulnerable to prompt injection attacks. State-of-the-art prompt injectio…
arXiv:2604.01131v1 Announce Type: new Abstract: Code obfuscation is widely adopted in modern software development to protect intellectual property and hinder reverse engineering, but it also provides …
arXiv:2604.01127v1 Announce Type: new Abstract: Software-Defined Networking (SDN) is increasingly adopted to secure Internet-of-Things (IoT) networks due to its centralized control and programmable fo…
arXiv:2604.01092v1 Announce Type: new Abstract: WiFi is inherently vulnerable to eavesdropping because RF signals may penetrate many physical boundaries, such as walls and floors. LiFi, by contrast, i…
arXiv:2604.01079v1 Announce Type: new Abstract: There is a growing need for cybersecurity professionals with practical knowledge and experience to meet societal needs and comply with new standards and…
arXiv:2604.01052v1 Announce Type: new Abstract: "Vibe coding," in which developers delegate code generation to AI assistants and accept the output with little manual review, has gained rapid adoption …
arXiv:2604.01039v1 Announce Type: new Abstract: System Instructions in Large Language Models (LLMs) are commonly used to enforce safety policies, define agent behavior, and protect sensitive operation…
arXiv:2604.01014v1 Announce Type: new Abstract: Membership Inference Attacks (MIAs) serve as a fundamental auditing tool for evaluating training data leakage in machine learning models. However, exist…
arXiv:2604.00986v1 Announce Type: new Abstract: We study whether phone-use agents respect privacy while completing benign mobile tasks. This question has remained hard to answer because privacy-compli…
arXiv:2604.00704v1 Announce Type: new Abstract: Large-scale web applications are widely deployed with complex third-party components, inheriting security risks arising from component vulnerabilities. …
arXiv:2604.00627v1 Announce Type: new Abstract: Model merging has emerged as a powerful technique for combining specialized capabilities from multiple fine-tuned LLMs without additional training costs…
arXiv:2604.00560v1 Announce Type: new Abstract: The impending arrival of cryptographically relevant quantum computers (CRQCs) threatens the security foundations of modern software: Shor's algorithm br…
arXiv:2604.00546v1 Announce Type: new Abstract: Face recognition models operate in a client-server setting where a client extracts a compact face embedding and a server performs similarity search over…
arXiv:2604.00411v1 Announce Type: new Abstract: Authenticated private information retrieval (APIR) is the state-of-the-art error-detecting private information retrieval (ED-PIR), using Distributed Poi…
arXiv:2604.00387v1 Announce Type: new Abstract: RAG systems deployed across federal agencies for citizen-facing services are vulnerable to knowledge base poisoning attacks, where adversaries inject ma…
arXiv:2604.00303v1 Announce Type: new Abstract: CubeSats have democratised access to space for universities, start-ups and emerging space nations, but the same design decisions that reduce cost and co…
arXiv:2604.00188v1 Announce Type: new Abstract: Coercion-resistance (CR) is a crucial security property in e-voting systems. It ensures that an attacker cannot compel a voter to vote in a specific way…
arXiv:2604.00181v1 Announce Type: new Abstract: This paper brings up this idea of using Near Field Communication (NFC) for inventory control system instead of using traditional barcodes. NFC because o…
arXiv:2604.00169v1 Announce Type: new Abstract: Privacy protection has become an increasing concern in modern machine learning applications. Privacy-preserving machine learning (PPML) has attracted gr…
arXiv:2604.00112v1 Announce Type: new Abstract: Detecting software vulnerabilities is critical to ensuring the security and reliability of modern computer systems. Deep neural networks have shown prom…
arXiv:2604.00079v1 Announce Type: new Abstract: Machine-learning-based code vulnerability detection (CVD) has progressed rapidly, from deep program representations to pretrained code models and LLM-ce…