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arXiv:2604.12994v1 Announce Type: new Abstract: Logical vulnerabilities in software stem from flaws in program logic rather than memory safety, which can lead to critical security failures. Although e…
arXiv:2604.12986v1 Announce Type: new Abstract: Autonomous AI agents are rapidly transitioning from experimental tools to operational infrastructure, with projections that 80% of enterprise applicatio…
arXiv:2604.12954v1 Announce Type: new Abstract: Generalized Reed-Solomon (GRS) and Gabidulin codes have been proposed for various code-based cryptosystems, though most such schemes without elaborate d…
arXiv:2604.12850v1 Announce Type: new Abstract: With increasing emphasis on transparency in digital governance, users expect more than silence when their access requests are denied by a system. Howeve…
arXiv:2604.12737v1 Announce Type: new Abstract: While Federated Learning (FL) mitigates direct data exposure, the resulting trained models remain susceptible to membership inference attacks (MIAs). Th…
arXiv:2604.12601v1 Announce Type: new Abstract: Passwords still remain a dominant authentication method, yet their security is routinely subverted by predictable user choices and large-scale credentia…
arXiv:2604.12548v1 Announce Type: new Abstract: Prompt injection has emerged as a critical security threat to large language models (LLMs), yet existing studies predominantly focus on single-dimension…
arXiv:2604.12446v1 Announce Type: new Abstract: Text-to-image (T2I) diffusion models have achieved remarkable success in image synthesis, but their reliance on large-scale data and open ecosystems int…
arXiv:2604.12431v1 Announce Type: new Abstract: Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify th…
arXiv:2604.12428v1 Announce Type: new Abstract: Cryptographic agility is a key prerequisite for maintaining the long-term security of digital communication, particularly in light of the transition to …
arXiv:2604.12408v1 Announce Type: new Abstract: Autonomous vehicles (AVs) promise efficient, clean and cost-effective transportation systems, but their reliance on sensors, wireless communications, an…
arXiv:2604.12407v1 Announce Type: new Abstract: Classical computability theory tells us that self-modifying code (SMC) on a deterministic universal Turing machine can be simulated by non-SMC code on t…
arXiv:2604.12359v1 Announce Type: new Abstract: Safety-aligned large language models (LLMs) are increasingly deployed in real-world pipelines, yet this deployment also enlarges the supply-chain attack…
arXiv:2604.12342v1 Announce Type: new Abstract: Training models on a carefully chosen portion of data rather than the full dataset is now a standard preprocess for modern ML. From vision coreset selec…
arXiv:2604.12329v1 Announce Type: new Abstract: As cross-chain interoperability advances, decentralized finance (DeFi) protocols enable illicit funds to be reorganized into uniform liquid assets that …
arXiv:2604.12284v1 Announce Type: new Abstract: Web agents powered by vision-language models (VLMs) enable autonomous interaction with web environments by perceiving and acting on both visual and text…
arXiv:2604.12254v1 Announce Type: new Abstract: SpanKey is a lightweight way to gate inference without encrypting weights or chasing leaderboard accuracy on gated inference. The idea is to condition a…
arXiv:2604.12232v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed across diverse domains, yet their vulnerability to jailbreak attacks, where adversarial inputs by…
arXiv:2604.12228v1 Announce Type: new Abstract: Cyber Threat Intelligence (CTI) reports contain Indicators of Compromise (IOCs) that are critical for security operations. To operationalize these IOCs …
arXiv:2604.12216v1 Announce Type: new Abstract: The widespread use of Large Language Models (LLMs) in text generation has raised increasing concerns about intellectual property disputes. Watermarking …
arXiv:2604.12178v1 Announce Type: new Abstract: Protecting sensitive visual content from unauthorized redistribution is a growing challenge for privacy focused mobile applications, including dating pl…
arXiv:2604.12172v1 Announce Type: new Abstract: We present COBALT-TLA, a neuro-symbolic verification loop that pairs an LLM with TLC, the TLA+ model checker, in an automated REPL. The LLM generates bo…
arXiv:2604.12168v1 Announce Type: new Abstract: The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transportat…
arXiv:2604.12064v1 Announce Type: new Abstract: Coding agents and LLM-powered applications routinely send potentially sensitive content to cloud LLM APIs where it may be logged, retained, used for tra…