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arXiv:2604.22629v1 Announce Type: new Abstract: This work proposes a structural approach to concept drift detection in malware classification using decision tree rulesets. Classifiers are trained acro…
arXiv:2604.22602v1 Announce Type: new Abstract: Blockchain wallets conventionally follow an ownership model where possession of a private key grants unilateral control. However, this assumption is bri…
arXiv:2604.22569v1 Announce Type: new Abstract: Machine learning-based malware detectors are increasingly vulnerable to adversarial examples. Traditional defenses, such as one-shot adversarial trainin…
arXiv:2604.22550v1 Announce Type: new Abstract: Self-supervised learning (SSL) encoders are invaluable intellectual property (IP). However, no existing SSL watermarking for IP protection can concurren…
arXiv:2604.22505v1 Announce Type: new Abstract: Private Information Retrieval (PIR) allows clients to retrieve database entries without leaking retrieval indices, yet malicious servers seriously compr…
arXiv:2604.22438v1 Announce Type: new Abstract: Watermarking has emerged as a promising technique for tracing the authorship of content generated by large language models (LLMs). Among existing approa…
arXiv:2604.22429v1 Announce Type: new Abstract: Scalar multiplication kP is the operation most frequently targeted in Elliptic Curve (EC) cryptosystems. To protect against single-trace Side-Channel An…
arXiv:2604.22427v1 Announce Type: new Abstract: The offensive security landscape is highly fragmented: enterprise platforms avoid memory-corruption vulnerabilities due to Denial of Service (DoS) risks…
arXiv:2604.22307v1 Announce Type: new Abstract: A growing number of Internet of Things (IoT) devices are used across consumer, medical, and industrial domains. They interact with their environment thr…
arXiv:2604.22304v1 Announce Type: new Abstract: This paper proposes a resource-aware allocation model for layered intrusion detection in het erogeneous networks. Monitoring traffic at higher protocol …
arXiv:2604.22291v1 Announce Type: new Abstract: The widespread availability of large-scale code datasets has accelerated the development of code large language models (CodeLLMs), raising concerns abou…
arXiv:2604.22191v1 Announce Type: new Abstract: In agentic workflows, LLMs frequently process retrieved contexts that are legally protected from further training. However, auditors currently lack a re…
arXiv:2604.22176v1 Announce Type: new Abstract: Accurate mapping between Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) entries is critical for effective vulnerabilit…
arXiv:2604.22157v1 Announce Type: new Abstract: Existing research typically treats privacy policies as flat, uniform text, extracting information without regard for the document's logical hierarchy. D…
arXiv:2604.22136v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs di…
arXiv:2604.22096v1 Announce Type: new Abstract: In enterprise fraud detection, model accuracy alone is insufficient when insiders can tamper with audit logs or bypass approval workflows. Real-world in…
arXiv:2604.22001v1 Announce Type: new Abstract: Security Operations Centers (SOCs) are pivotal in modern enterprises. Tasked to monitor complex network environments constantly under attack, SOCs can b…
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On Friday, Chinese AI firm DeepSeek released a preview of V4, its long-awaited new flagship model. Notably, the model can process much longer prompts than its last generation, thanks to a new design t…
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