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◬ AI & Machine Learning Apr 22, 2026
ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety

arXiv:2604.19083v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, yet their deployment is threatene…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT

arXiv:2604.19053v1 Announce Type: new Abstract: We propose CHRONOS, a hardware-assisted framework that decouples the cryptographic setup required for private gradient aggregation from the active train…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery

arXiv:2604.19049v1 Announce Type: new Abstract: LLM-assisted defect discovery has a precision crisis: plausible-but-wrong reports overwhelm maintainers and degrade credibility for real findings. We pr…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection

arXiv:2604.19031v1 Announce Type: new Abstract: Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundati…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Security Is Relative: Training-Free Vulnerability Detection via Multi-Agent Behavioral Contract Synthesis

arXiv:2604.19012v1 Announce Type: new Abstract: Deep learning for vulnerability detection has shown promising results on early benchmarks, but recent evaluations reveal catastrophic degradation: model…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents

arXiv:2604.18860v1 Announce Type: new Abstract: GUI agents that control desktop computers via screenshot-and-click loops introduce a new class of vulnerability: the observation-to-action gap (mean 6.5…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Blockchain-Driven AI-Enhanced Post-Quantum Multivariate Identity-based Signature and Privacy-Preserving Data Aggregation Scheme for Fog-enabled Flying Ad-Hoc Networks

arXiv:2604.18819v1 Announce Type: new Abstract: The integration of Fog Computing with Flying Ad-Hoc Networks (FANETs) offers promising capabilities for decentralized, low-latency intelligence in UAV-b…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Towards Optimal Agentic Architectures for Offensive Security Tasks

arXiv:2604.18718v1 Announce Type: new Abstract: Agentic security systems increasingly audit live targets with tool-using LLMs, but prior systems fix a single coordination topology, leaving unclear whe…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
From Finite Enumeration to Universal Proof: Ring-Theoretic Foundations for PQC Hardware Masking Verification

arXiv:2604.18717v1 Announce Type: new Abstract: Formal verification of masking in post-quantum cryptographic (PQC) hardware relies on SMT solvers over finite domains. Our prior work established struct…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
TrEEStealer: Stealing Decision Trees via Enclave Side Channels

arXiv:2604.18716v1 Announce Type: new Abstract: Today, machine learning is widely applied in sensitive, security-related, and financially lucrative applications. Model extraction attacks undermine cur…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs

arXiv:2604.18697v1 Announce Type: new Abstract: Indistinguishability properties such as differential privacy bounds or low empirically measured membership inference are widely treated as proxies to sh…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation

arXiv:2604.18663v1 Announce Type: new Abstract: Existing jamming attacks on Retrieval-Augmented Generation (RAG) systems typically induce explicit refusals or denial-of-service behaviors, which are co…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks

arXiv:2604.18660v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in education, yet their default helpfulness often conflicts with pedagogical principles. Prior work e…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Owner-Harm: A Missing Threat Model for AI Agent Safety

arXiv:2604.18658v1 Announce Type: new Abstract: Existing AI agent safety benchmarks focus on generic criminal harm (cybercrime, harassment, weapon synthesis), leaving a systematic blind spot for a dis…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers

arXiv:2604.18652v1 Announce Type: new Abstract: The transition of agentic AI from brittle prototypes to production systems is stalled by a pervasive crisis of craft. We suggest that the prevailing orc…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Position: No Retroactive Cure for Infringement during Training

arXiv:2604.18649v1 Announce Type: new Abstract: As generative AI faces intensifying legal challenges, the machine learning community has increasingly relied on post-hoc mitigation -- especially machin…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Global Web, Local Privacy? An International Review of Web Tracking

arXiv:2604.18633v1 Announce Type: new Abstract: Web tracking by ad networks, social networks, and other third parties is privacy-invasive. To protect users' privacy an increasing number of countries a…

arXiv Security Read →
◬ AI & Machine Learning Apr 22, 2026
Vance, Bessent questioned tech giants on AI security before Anthropic's Mythos release - CNBC

Vance, Bessent questioned tech giants on AI security before Anthropic's Mythos release CNBC

CNBC Read →
◬ AI & Machine Learning Apr 22, 2026
Changes to GitHub Copilot Individual plans

Changes to GitHub Copilot Individual plans On the same day as Claude Code's temporary will-they-won't-they $100/month kerfuffle (for the moment, they won't ), here's the latest on GitHub Copilot prici…

Simon Willison Read →
◬ AI & Machine Learning Apr 22, 2026
Is Claude Code going to cost $100/month? Probably not - it's all very confusing

Anthropic today quietly (as in silently , no announcement anywhere at all) updated their claude.com/pricing page (but not their Choosing a Claude plan page , which shows up first for me on Google) to …

Simon Willison Read →
◬ AI & Machine Learning Apr 22, 2026
Resistance

Turns out not everyone wants to live in the future that AI companies are building. People from all walks of life are speaking out against rising electricity bills from data centers, disappearing jobs,…

MIT Tech Review AI Read →
◬ AI & Machine Learning Apr 22, 2026
Artificial scientists

AI companies frequently invoke the possibility of AI-enabled scientific discovery as a justification for their existence: If the technology eventually cures cancer and solves climate change, then all …

MIT Tech Review AI Read →
◬ AI & Machine Learning Apr 22, 2026
China’s open-source bet

Silicon Valley AI companies follow a familiar playbook: Keep the secret sauce behind an API, and charge for every drop. China’s leading AI labs are playing a different game: They ship models as downlo…

MIT Tech Review AI Read →
◬ AI & Machine Learning Apr 22, 2026
Humanoid data

I was recently invited to join an app that would pay me cryptocurrency to film myself doing tasks like putting food into a bowl, microwaving it, and then taking it out. Another website suggested I try…

MIT Tech Review AI Read →
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