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May 19, 2026Latest
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🔍 Digital Forensics May 12, 2026
What’s the deal with spacesuits for the Moon? Will they be ready in time? - Ars Technica

What’s the deal with spacesuits for the Moon? Will they be ready in time? Ars Technica

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⬡ Vulnerabilities & CVEs May 12, 2026
Adobe Patches Acrobat Reader 0-Day Vulnerability Exploited in the Wild - CyberSecurityNews

Adobe Patches Acrobat Reader 0-Day Vulnerability Exploited in the Wild CyberSecurityNews

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◎ How-To & Tutorials May 12, 2026
What Is a Firewall? Types & Role in Cybersecurity - Simplilearn.com

What Is a Firewall? Types & Role in Cybersecurity Simplilearn.com

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◈ Women in Cyber May 12, 2026
The e-SafeHER Programme - INSIGHTS IAS

The e-SafeHER Programme INSIGHTS IAS

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◬ AI & Machine Learning May 12, 2026
The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play

arXiv:2605.08427v1 Announce Type: new Abstract: Self-play red team is an established approach to improving AI safety in which different instances of the same model play attacker and defender roles in …

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◬ AI & Machine Learning May 12, 2026
Alignment as Jurisprudence

arXiv:2605.08416v1 Announce Type: new Abstract: Jurisprudence, the study of how judges should properly decide cases, and alignment, the science of getting AI models to conform to human values, share a…

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◬ AI & Machine Learning May 12, 2026
Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models

arXiv:2605.08415v1 Announce Type: new Abstract: Since the advent of Large Language Models (LLMs), a significant area of research has focused on their intrinsic biases, particularly in political discou…

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◬ AI & Machine Learning May 12, 2026
Playing games with knowledge: AI-Induced delusions need game theoretic interventions

arXiv:2605.08409v1 Announce Type: new Abstract: Conversational AI has a fundamental flaw as a knowledge interface: sycophantic chatbots induce epistemic entrenchment and delusional belief spirals even…

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◬ AI & Machine Learning May 12, 2026
Belief or Circuitry? Causal Evidence for In-Context Graph Learning

arXiv:2605.08405v1 Announce Type: new Abstract: How do LLMs learn in-context? Is it by pattern-matching recent tokens, or by inferring latent structure? We probe this question using a toy graph random…

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◬ AI & Machine Learning May 12, 2026
CoCoDA: Co-evolving Compositional DAG for Tool-Augmented Agents

arXiv:2605.08399v1 Announce Type: new Abstract: Tool-augmented language models can extend small language models with external executable skills, but scaling the tool library creates a coupled challeng…

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◬ AI & Machine Learning May 12, 2026
PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams

arXiv:2605.08388v1 Announce Type: new Abstract: Human-AI teams play a pivotal role in improving overall system performance when neither the human nor the model can achieve such performance on their ow…

arXiv AI Read →
◬ AI & Machine Learning May 12, 2026
SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents

arXiv:2605.08386v1 Announce Type: new Abstract: Skill libraries have become a practical way for LLM agents to reuse procedural experience across tasks. However, existing systems typically treat skills…

arXiv AI Read →
◬ AI & Machine Learning May 12, 2026
MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs

arXiv:2605.08374v1 Announce Type: new Abstract: Episodic memory allows LLM agents to accumulate and retrieve experience, but current methods treat each memory independently, i.e., evaluating retrieval…

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◬ AI & Machine Learning May 12, 2026
On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective

arXiv:2605.08368v1 Announce Type: new Abstract: Debates about large language model post-training often treat supervised fine-tuning (SFT) as imitation and reinforcement learning (RL) as discovery. But…

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◬ AI & Machine Learning May 12, 2026
Embeddings for Preferences, Not Semantics

arXiv:2605.08360v1 Announce Type: new Abstract: Modern AI is opening the door to collective decision-making in which participants express their views as free-form text rather than voting on a fixed se…

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◬ AI & Machine Learning May 12, 2026
Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

arXiv:2605.08354v1 Announce Type: new Abstract: Aligning multimodal generative models with human preferences demands reward signals that respect the compositional, multi-dimensional structure of human…

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◬ AI & Machine Learning May 12, 2026
Spatial Priming Outperforms Semantic Prompting: A Grid-Based Approach to Improving LLM Accuracy on Chart Data Extraction

arXiv:2605.08220v1 Announce Type: new Abstract: The automated extraction of data from scientific charts is a critical task for large-scale literature analysis. While multimodal Large Language Models (…

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◬ AI & Machine Learning May 12, 2026
Where Reliability Lives in Vision-Language Models: A Mechanistic Study of Attention, Hidden States, and Causal Circuits

arXiv:2605.08200v1 Announce Type: new Abstract: A pervasive intuition holds that vision-language models (VLMs) are most trustworthy when their attention maps look sharp: concentrated attention on the …

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◬ AI & Machine Learning May 12, 2026
Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework

arXiv:2605.09232v1 Announce Type: new Abstract: The increasing deployment of Internet-of-Things (IoT) devices has accelerated the use of distributed learning frameworks, where data remains local while…

arXiv Security Read →
◬ AI & Machine Learning May 12, 2026
The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring

arXiv:2605.09225v1 Announce Type: new Abstract: Jailbreak attacks -- adversarial prompts that bypass LLM alignment through purely linguistic manipulation -- pose a growing operational security threat,…

arXiv Security Read →
◬ AI & Machine Learning May 12, 2026
Removing the Watermark Is Not Enough: Forensic Stealth in Generative-AI Watermark Removal

arXiv:2605.09203v1 Announce Type: new Abstract: Watermarks for AI-generated images are meant to support downstream decisions about provenance, manipulation, and trust. In the settings that motivate wa…

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◬ AI & Machine Learning May 12, 2026
Smart Contract Security Beyond Detection

arXiv:2605.09124v1 Announce Type: new Abstract: Smart contract security has progressed from vulnerability detection toward a broader research agenda that includes semantic reasoning, automated repair,…

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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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