ContractLens: Latent Security Knowledge for Malicious Smart Contract Detection
arXiv:2610.04992v2 Announce Type: replace Abstract: Detecting malicious smart contracts is essential to safeguarding the Web3.0 ecosystem. However, existing aud…
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arXiv:2610.04992v2 Announce Type: replace Abstract: Detecting malicious smart contracts is essential to safeguarding the Web3.0 ecosystem. However, existing aud…
arXiv:2609.35596v3 Announce Type: replace Abstract: Self-evolving LLM agents have gained prominence for their ability to improve after deployment by modifying t…
arXiv:2609.34804v2 Announce Type: replace Abstract: Federated learning enables industrial operators to train shared intrusion detection models without disclosin…
arXiv:2609.16541v2 Announce Type: replace Abstract: We have applied a novel combination of classic relational database modeling and modern reinforcement learnin…
arXiv:2608.25667v2 Announce Type: replace Abstract: The integration of Large Language Models (LLMs) into cybersecurity has transformed vulnerability assessment,…
arXiv:2605.03158v2 Announce Type: replace Abstract: Cyber threat intelligence (CTI) systems must link exploit code, advisories, and fix commits to the vulnerabi…
arXiv:2509.17836v3 Announce Type: replace Abstract: Machine Learning (ML) techniques have shown strong potential for network traffic analysis; however, their ef…
arXiv:2508.00351v3 Announce Type: replace Abstract: Quantum money is a representative application in cryptography that utilizes quantum technology to achieve se…
arXiv:2505.23814v3 Announce Type: replace Abstract: Watermarking has emerged as a leading technical proposal for attributing generative AI content and is increa…
arXiv:2304.14717v3 Announce Type: replace Abstract: Trusted Platform Modules constitute an integral building block of modern security features. Moreover, as Win…
arXiv:2611.08442v1 Announce Type: cross Abstract: Standardised post-quantum cryptography (PQC) is critical for protecting software systems against future quantu…
arXiv:2611.07413v1 Announce Type: cross Abstract: Whether useful structured hardness can arise from unstructured assumptions is a fundamental question in comple…
arXiv:2611.07313v1 Announce Type: cross Abstract: We give a randomized, rank-preserving reduction from exact $\ell_p$-CVP to exact Euclidean SVP for every integ…
arXiv:2611.07266v1 Announce Type: cross Abstract: A quadratic source is a random variable $X\sim\mathbb{F}_2^n$ generated by applying $n$ quadratics to a hidden…
arXiv:2611.08383v1 Announce Type: new Abstract: Federated learning servers combine client models with a fixed aggregation rule, and each rule in common use is d…
arXiv:2611.08380v1 Announce Type: new Abstract: Embedded systems rely on sensor measurements that traverse a complex hardware-firmware stack (e.g. peripheral in…
arXiv:2611.08343v1 Announce Type: new Abstract: Behavioral biometrics have emerged as a promising complement to traditional physiological biometrics by leveragi…
arXiv:2611.08229v1 Announce Type: new Abstract: In two-tier triage a fast model decides most web requests and escalates the rest to a slow tier, so an attack th…
arXiv:2611.08200v1 Announce Type: new Abstract: Zirah is a hardware signer built around an STM32F407 microcontroller, and its purpose is to find out, on inexpen…
arXiv:2611.08170v1 Announce Type: new Abstract: Scammers have increasingly adopted AI-driven capabilities, evolving from automated message generation to fully a…