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arXiv:2605.22027v1 Announce Type: new Abstract: Security analysts routinely query system logs to detect threats and investigate incidents, but each log source uses its own semi-structured format: logs…
arXiv:2605.22001v1 Announce Type: new Abstract: Injection detectors deployed to protect LLM agents are calibrated on static, template-based payloads that announce themselves as override directives. We…
arXiv:2605.21915v1 Announce Type: new Abstract: Congestion controllers (CCs) are critical to network performance, and yet their robustness under adverse conditions remains insufficiently understood. W…
arXiv:2605.21865v1 Announce Type: new Abstract: Data leakage from API responses has drawn wide attention. APIs are often not fully regulated, making them easy to abuse. One common solution is to embed…
arXiv:2605.21857v1 Announce Type: new Abstract: We introduce baseSPIDER and SPIDER, private information retrieval (PIR) schemes that embody two technical advancements. The baseSPIDER protocol operates…
arXiv:2605.21824v1 Announce Type: new Abstract: Fuzz testing is the dominant technique for finding memory-safety vulnerabilities in C/C++ software, yet its effectiveness hinges on the quality of fuzz …
arXiv:2605.21821v1 Announce Type: new Abstract: Sandbox evasion remains a critical challenge for automated malware analysis, as modern malware employs environment checks to detect analysis platforms a…
arXiv:2605.21819v1 Announce Type: new Abstract: Understanding the functional graph of a nonlinear map over a finite domain is crucial for analyzing its dynamical complexity and potential applications …
arXiv:2605.21797v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs) have renewed interest in confidential analytics, but most prior evaluations focus on SQL database engines or earli…
arXiv:2605.21779v1 Announce Type: new Abstract: Software vulnerabilities pose critical security threats, with nearly 50,000 CVEs reported in 2025. While Large Language Models (LLMs) show promise for a…
arXiv:2605.21773v1 Announce Type: new Abstract: Recent benchmark efforts have advanced the evaluation of large language models (LLMs) in cybersecurity, including tasks such as penetration testing and …
arXiv:2605.21694v1 Announce Type: new Abstract: Connecting large language models (LLMs) to defensive enforcement requires more than asking a model whether an attack is happening. A defender must decid…
arXiv:2605.21674v1 Announce Type: new Abstract: Large Language Models (LLMs) are widely deployed in diverse real-world settings, yet remain vulnerable to jailbreaking, where prompt-based attacks bypas…
arXiv:2605.21615v1 Announce Type: new Abstract: Existing binary corpora typically capture only one or two axes of binary variation: they either provide cross-compiler builds without a temporal axis, o…
arXiv:2605.21541v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) remain vulnerable to transfer-based targeted attacks, where perturbations optimized on open-source surrogate en…
arXiv:2605.21498v1 Announce Type: new Abstract: ECDSA signatures form the bedrock of blockchain transaction authentication, yet their security critically depends on proper nonce generation. We uncover…
arXiv:2605.21497v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly proposed to automate offensive security tasks, with recent studies reporting near human-level success…
This course is an expert-level four-day training course, designed for participants who are familiar with the principles of digital forensics and who are seeking to improve their mobile device investig…
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 …
A sweeping automated supply chain attack codenamed “Megalodon” struck GitHub on May 18, 2026, injecting malicious CI/CD backdoors into over 5,500 repositories in less than six hours, marking one of th…
Discord has officially rolled out end-to-end encryption (E2EE) for all voice and video communications across its platform, marking a major milestone in secure real-time communication. The feature, now…
SK Shieldus researcher paper accepted by ICML 2026 디지털투데이