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May 19, 2026Latest
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◬ AI & Machine Learning May 12, 2026
AI Native Asset Intelligence

arXiv:2605.09115v1 Announce Type: new Abstract: Modern security environments generate fragmented signals across cloud resources, identities, configurations, and third-party security tools. Although AI…

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◬ AI & Machine Learning May 12, 2026
Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success

arXiv:2605.09070v1 Announce Type: new Abstract: Many jailbreak attack research papers report attack success rates for a limited number of parameter settings, even though there are many combinations of…

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◬ AI & Machine Learning May 12, 2026
ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts

arXiv:2605.09033v1 Announce Type: new Abstract: Graph-based agent memory is increasingly used in LLM agents to support structured long-term recall and multi-hop reasoning, but it also creates a new po…

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◬ AI & Machine Learning May 12, 2026
Hardware-Accelerated Line-Rate Bitstream Screening for Secure FPGA Reconfiguration

arXiv:2605.08984v1 Announce Type: new Abstract: As Field-Programmable Gate Arrays (FPGAs) scale in multi-tenant cloud and edge-AI environments, the configuration bitstream has become a critical, yet o…

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◬ AI & Machine Learning May 12, 2026
Toward Web 4.0: Bidirectional Trust between AI Agents and Blockchain

arXiv:2605.08922v1 Announce Type: new Abstract: Autonomous AI agents are increasingly deployed on blockchain platforms, yet the design space that governs their interaction remains poorly understood. T…

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◬ AI & Machine Learning May 12, 2026
Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach

arXiv:2605.08910v1 Announce Type: new Abstract: The new wave of adversarial attacks that utilize gradient-related vulnerabilities in neural network-based classifiers makes Network Intrusion Detection …

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◬ AI & Machine Learning May 12, 2026
Why Do Aligned LLMs Remain Jailbreakable: Refusal-Escape Directions, Operator-Level Sources, and Safety-Utility Trade-off

arXiv:2605.08878v1 Announce Type: new Abstract: Aligned large language models (LLMs) remain vulnerable to jailbreak attacks. Recent mechanistic studies have identified latent features and representati…

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◬ AI & Machine Learning May 12, 2026
When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions

arXiv:2605.08763v1 Announce Type: new Abstract: Automated intrusion-style workflows require LLM agents to reason over partial observations, tool outputs, and executable artifacts under bounded budgets…

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◬ AI & Machine Learning May 12, 2026
AI-Accelerated Brute Force Cryptanalysis

arXiv:2605.08690v1 Announce Type: new Abstract: Modern cryptography is hinged on "not learning from mistakes": trying numerous wrong keys, should not help one identify the right key. Indeed, it worked…

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◬ AI & Machine Learning May 12, 2026
WATSON: Leveraging Data Watchpoints for Shadow Stack Protection on Embedded Systems

arXiv:2605.08604v1 Announce Type: new Abstract: Embedded and Internet-of-Things (IoT) devices play a critical role in modern life. Their software and firmware, often developed in memory-unsafe languag…

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◬ AI & Machine Learning May 12, 2026
Computer Science Conferences Should Require Nonrepudiable Experimental Results

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 …

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◬ AI & Machine Learning May 12, 2026
When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks

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…

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◬ AI & Machine Learning May 12, 2026
HEART: A High-Efficiency Adaptive Real-Time Telemonitoring Framework for Secure Electrocardiogram Signal Transmission Using Chaotic Encryption

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…

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◬ AI & Machine Learning May 12, 2026
SL5 Standard for AI Security

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…

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◬ AI & Machine Learning May 12, 2026
Improving Parameter-Efficient Federated Learning with Differentially Private Refactorization

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…

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◬ AI & Machine Learning May 12, 2026
Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents

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…

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◬ AI & Machine Learning May 12, 2026
Deterministic Fully-Static Whole-Binary Translation without Heuristics

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,…

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◬ AI & Machine Learning May 12, 2026
Binge, Bot, Repeat: Unpacking the Ecosystem of Video Piracy on Telegram

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…

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◬ AI & Machine Learning May 12, 2026
Quantifiable Uncertainty: A Stochastic Consensus Multi-Agent RAG Framework for Robust Malware Detection

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…

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◬ AI & Machine Learning May 12, 2026
SecureForge: Finding and Preventing Vulnerabilities in LLM-Generated Code via Prompt Optimization

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…

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◬ AI & Machine Learning May 12, 2026
Kettle: Attested builds for verifiable software provenance

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)…

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◬ AI & Machine Learning May 12, 2026
AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey

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…

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◬ AI & Machine Learning May 12, 2026
Seed Hijacking of LLM Sampling and Quantum Random Number Defense

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 …

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◬ AI & Machine Learning May 12, 2026
WebTrap: Stealthy Mid-Task Hijacking of Browser Agents During Navigation

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…

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