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arXiv:2605.08586v1 Announce Type: new Abstract: This position paper argues that computer science conferences should require tamper-evident, nonrepudiable attestations of experimental results. We name …
arXiv:2605.08460v1 Announce Type: new Abstract: Since the official release of ChatGPT in 2022, large language models (LLMs) have rapidly evolved from chatbot-style interfaces into agentic systems that…
arXiv:2605.08456v1 Announce Type: new Abstract: The realtime analysis and secure transmission of electrocardiogram ECG signals are critical for accurate diagnosis and safeguarding patient privacy in t…
arXiv:2605.08449v1 Announce Type: new Abstract: Security Level 5 (SL5) is a security posture for AI systems that could plausibly thwart top-priority operations by the world's most cyber-capable instit…
arXiv:2605.08443v1 Announce Type: new Abstract: Federated Learning (FL) with parameter-efficient fine-tuning, such as Low-Rank Adaptation (LoRA), enables scalable model training on distributed data. H…
arXiv:2605.08442v1 Announce Type: new Abstract: Persistent memory attacks against LLM agents achieve high attack success rates against open-source models. In these attacks, malicious instructions inje…
arXiv:2605.08419v1 Announce Type: new Abstract: We present Elevator, the first binary translator that statically translates entire x86-64 executables to AArch64 without debug information, source code,…
arXiv:2605.08418v1 Announce Type: new Abstract: Telegram has emerged as a major platform for large-scale video piracy, where copyrighted content is rapidly distributed among users. Despite its promine…
arXiv:2605.08385v1 Announce Type: new Abstract: While contemporary deep learning malware detectors define a dominant defense paradigm, their sophistication also exposes them to novel structural evasio…
arXiv:2605.08382v1 Announce Type: new Abstract: LLM coding agents now generate code at an unprecedented scale, yet LLM-generated code introduces cybersecurity vulnerabilities into codebases without hu…
arXiv:2605.08363v1 Announce Type: new Abstract: Kettle is an attested build system that produces cryptographically verifiable provenance for software built inside Trusted Execution Environments (TEEs)…
arXiv:2605.08316v1 Announce Type: new Abstract: Security alert screening is the downstream task of filtering, prioritizing, correlating, and contextualizing alerts for analyst attention in Security Op…
arXiv:2605.08313v1 Announce Type: new Abstract: Large language models (LLMs) rely on deterministic pseudorandom number generators (PRNGs) for autoregressive sampling, creating a critical supply-chain …
arXiv:2605.08310v1 Announce Type: new Abstract: Browser agents are increasingly deployed in long-horizon tasks, which require executing extended action chains to accomplish user goals. However, this p…
arXiv:2605.08277v1 Announce Type: new Abstract: Many-shot jailbreaking (MSJ) causes safety-aligned language models to answer harmful queries by preceding them with many harmful question-answer demonst…
arXiv:2605.08257v1 Announce Type: new Abstract: Motivated by the challenge to improve the adversarial robustness, security, and trust of medical decision making intelligent agents, this study develops…
Digital Video Investigations with Magnet Witness (DV200) is a beginner-level course, designed for participants who are not yet familiar with the concepts of the recovery and analysis of digital video …
Magnet Axiom Examinations (AX200) is ideal for those who require intermediate-level training with a digital investigation platform that covers cases involving smartphones, tablets, computers, and clou…