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◬ AI & Machine Learning May 27, 2026
Batch Me If You Can: Coverage-guided RPKI Fuzzing at Scale

arXiv:2605.26651v1 Announce Type: new Abstract: The Resource Public Key Infrastructure (RPKI) has become essential to secure inter-domain routing. Despite its critical role, RPKI software remains larg…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Control Physiology: An Agent-Based Model of FAIR-CAM Dynamics

arXiv:2605.26597v1 Announce Type: new Abstract: Security risk analysis typically treats control effectiveness as a static input, yet controls degrade through configuration drift, depend on monitoring …

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Cordyceps: Covert Control Attacks on LLMs via Data Poisoning

arXiv:2605.26595v1 Announce Type: new Abstract: Large language models (LLMs) are often fine-tuned on uncurated text datasets that adversaries can poison. Existing poisoning attacks primarily rely on f…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning

arXiv:2605.26574v1 Announce Type: new Abstract: Fine-tuning Large Language Models with untrusted data exposes models to backdoor attacks, where poisoned samples cause targeted misbehavior. Existing sa…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks?

arXiv:2605.26548v1 Announce Type: new Abstract: Large language models (LLMs) now support automated software security tasks, including vulnerability discovery and proof-of-concept (PoC) generation. Exi…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
ChainCaps: Composition-Safe Tool-Using Agents via Monotonic Capability Attenuation

arXiv:2605.26542v1 Announce Type: new Abstract: Tool-using agents increasingly operate in open-ended deployment environments, where they compose file systems, web APIs, code interpreters, and enterpri…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Aligning Provenance with Authorization: A Dual-Graph Defense for LLM Agents

arXiv:2605.26497v1 Announce Type: new Abstract: LLM-based agents are increasingly deployed in high-stakes scenarios such as email management, financial transactions, and code execution, where they int…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy

arXiv:2605.26465v1 Announce Type: new Abstract: Local Differential Privacy (LDP) has become the de facto standard for privacy-preserving data collection in large-scale systems, in particular for the p…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models

arXiv:2605.26409v1 Announce Type: new Abstract: Evaluating and mitigating a generative system's susceptibility to jailbreak attacks is critical to its safe deployment. Given the number of deployable s…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Context-Aware Metric Differential Privacy for Vehicle Trajectory Data

arXiv:2605.26351v1 Announce Type: new Abstract: Metric Differential Privacy (mDP) generalizes differential privacy by allowing privacy guarantees to be expressed with respect to an arbitrary distance …

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models

arXiv:2605.26307v1 Announce Type: new Abstract: Software-Defined Networking (SDN) provides flexible and programmable network management; however, its centralized control architecture remains highly vu…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Sandlock: Confining AI Agent Code with Unprivileged Linux Primitives

arXiv:2605.26298v1 Announce Type: new Abstract: AI agents increasingly run untrusted code on developer machines: shell commands generated by language models, third-party scripts retrieved at runtime, …

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
AgentSecBench: Measuring Prompt Injection, Privacy Leakage, and Tool-Use Integrity in LLM Agents

arXiv:2605.26269v1 Announce Type: new Abstract: LLM agents process trusted instructions, retrieved records, and tool observations through a common generative channel. This conflates data flow with aut…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly

arXiv:2605.26195v1 Announce Type: new Abstract: LLM-based agents are increasingly used for cybersecurity tasks, but most existing systems rely on fixed, human-designed scaffolds that struggle to adapt…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures

arXiv:2605.26166v1 Announce Type: new Abstract: The rapid proliferation of Internet of Things (IoT) devices has created an urgent demand for adaptive, resource-efficient Intrusion Detection Systems (I…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Furina: Fragmented Uncertainty-Driven Refusal Instability Attack

arXiv:2605.26158v1 Announce Type: new Abstract: Safety alignment in large language models (LLMs) and multimodal large language models (MLLMs) is commonly assumed to operate as a near-binary threshold …

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
Turning Bias into Bugs: Bandit-Guided Style Manipulation Attacks on LLM Judges

arXiv:2605.26156v1 Announce Type: new Abstract: The known stylistic biases in LLM judges, such as a preference for verbosity or specific sentence structures, present an underexplored security vulnerab…

arXiv Security Read →
◬ AI & Machine Learning May 27, 2026
MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning

arXiv:2605.26154v1 Announce Type: new Abstract: LLM-driven agents are capable of selecting external tools to complete users' tasks. However, attackers could compromise such process, steering agents to…

arXiv Security Read →
◬ AI & Machine Learning May 26, 2026
How AI is Transforming Cybersecurity Hiring in 2026 - Analytics Insight

How AI is Transforming Cybersecurity Hiring in 2026 Analytics Insight

Analytics Insight Read →
◬ AI & Machine Learning May 26, 2026
Rethinking organizational design in the age of agentic AI

Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. Although 85% of organizations say they want to be agentic within the next thr…

MIT Tech Review AI Read →
◬ AI & Machine Learning May 26, 2026
It’s time to address the looming crisis in entry-level work.

Artificial intelligence has not so far produced a clean story of mass unemployment. Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited eviden…

MIT Tech Review AI Read →
◬ AI & Machine Learning May 26, 2026
A reality check on the AI jobs hysteria

Haven’t you heard? White-collar jobs are going away, decimated by AI. Waves of layoffs in the tech sector (most recently at Coinbase and Meta and Cisco) are said to presage what will soon come for all…

MIT Tech Review AI Read →
◬ AI & Machine Learning May 26, 2026
Beyond Predefined Learning Objects: A Thinking-Learning Interaction Model for Up-to-Date Autonomous Robot Learning

arXiv:2605.23987v1 Announce Type: new Abstract: Autonomous robots operating in open and changing environments cannot always rely on predefined inputs, outputs, and action routines. Although existing l…

arXiv AI Read →
◬ AI & Machine Learning May 26, 2026
Saturating Scaling Laws for Equational Discovery: A Phenomenology of Growth Dynamics in Three Toy Substrates with Two Real-World Replications

arXiv:2605.23983v1 Announce Type: new Abstract: We investigate growth dynamics in deterministic equational discovery substrates. Across three toy domains (arithmetic, boolean, higher-order list; n=592…

arXiv AI Read →
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