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◬ AI & Machine Learning Jun 17, 2026
Anywhere, Any-Stymie: Remote Activation of Trojan Malware on LiDAR with Modulated Signals

arXiv:2606.17562v1 Announce Type: new Abstract: LiDAR sensors are widely deployed in autonomous systems for 3D perception and safety-critical decision-making. We identify a previously unexplored attac…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
An AI Security Agent for Banking: Multi-Vector Fraud and AML Detection Across Retail and Corporate Accounts

arXiv:2606.17555v1 Announce Type: new Abstract: Banks simultaneously face signature-based fraud (card-not-present attacks, account takeover, ATM cloning) and behavioural financial crime (structuring, …

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
SNAS: A Multi-Layer Defense-in-Depth Architecture for Secure Egress in Sandboxed Workloads

arXiv:2606.17533v1 Announce Type: new Abstract: Snowpark enables data engineering and AI/ML workloads in Snowflake by executing user-defined functions in secure sandboxes. Many of these workloads requ…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents

arXiv:2606.17467v1 Announce Type: new Abstract: Prompt injection defenses evaluated on synthetic benchmarks do not generalize to real enterprise documents, which are longer, denser, and interleave leg…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Bifrost: Hybrid TEE-FHE Inference for Privacy-Preserving Transformer and LLM Serving

arXiv:2606.17421v1 Announce Type: new Abstract: Cloud-hosted transformer and large language model (LLM) inference creates a direct confidentiality problem: user prompts may contain sensitive code, bus…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
SoK: AI-Augmented Binary Reversing

arXiv:2606.17398v1 Announce Type: new Abstract: Binary reversing is fundamental to software understanding, vulnerability discovery, malware investigation, and firmware auditing. However, it remains in…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
OTRO: Oblivious Tokenization Path with Square-Root ORAM

arXiv:2606.17358v1 Announce Type: new Abstract: The CPU-side large language model (LLM) tokenizer is a critical security gap in LLM serving through a confidential computing stack with CPU and GPU trus…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software

arXiv:2606.17283v1 Announce Type: new Abstract: Achieving reproducibility, quantity, and diversity in vulnerability datasets has long been viewed as an inherent three-way trade-off, where improving on…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Cache to the Future: A Distributed Webpage Archive for Internet Blackouts

arXiv:2606.17245v1 Announce Type: new Abstract: Internet blackouts, occurring due to technological mishaps or intentional governmental action, prevent citizens from accessing the internet. Citizens in…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Safety, Security, and Cognitive Risks in Neuro-Symbolic AI

arXiv:2606.17223v1 Announce Type: new Abstract: Neuro-symbolic AI (NeSy) pairs neural perception with symbolic reasoning, making it attractive for high-stakes domains where explainability and structur…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
LineageMark: Multi-user White-box Watermarking for Contribution Tracing in Model Derivation Chains

arXiv:2606.17123v1 Announce Type: new Abstract: In open large language model (LLM) ecosystems, models are frequently adapted across multiple domains and applications, forming multi-stage derivation ch…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations

arXiv:2606.17122v1 Announce Type: new Abstract: The demand for privacy-compliant AI has amplified the need for machine unlearning; yet, existing retraining or distillation-based methods remain unverif…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict

arXiv:2606.17119v1 Announce Type: new Abstract: Physical cyber systems have brought about new threats and challenges in detection and immediate response. This study examines how Graph Neural Networks …

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Quantifying quantum risk: a measure of crypto agility

arXiv:2606.17116v1 Announce Type: new Abstract: Because of their ability to enable new forms of cryptanalysis, quantum computers pose a threat to the cryptographic algorithms that are widely used to s…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
An Evaluation of Data Leakage Risks in Tool-Using LLM Agents in Realistic Scenarios

arXiv:2606.17114v1 Announce Type: new Abstract: AI agents are increasingly being adopted in enterprise and personal settings with access to emails, databases, documents, and other tools where they can…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Fractional Verkle Trees: A Hypertree Decomposition and Verified Proof Serialization Architecture for High-Performance Blockchain State Accumulators

arXiv:2606.17111v1 Announce Type: new Abstract: Modern blockchain state management faces a critical scalability bottleneck: maintaining cryptographic commitments over hundreds of millions of entries b…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs

arXiv:2606.17110v1 Announce Type: new Abstract: Large Language Models are increasingly trained on proprietary or sensitive data, from private healthcare and financial records to user conversations con…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

arXiv:2606.17109v1 Announce Type: new Abstract: Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have been widely adopted in net…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Securing Multi-Agent GIS Systems: Risk Evaluation and Prompt Hardening Optimization

arXiv:2606.17092v1 Announce Type: new Abstract: Agentic systems are increasingly integrated with geographic information systems (GIS), where multi-agent coordination enables complex conversational and…

arXiv Security Read →
◬ AI & Machine Learning Jun 17, 2026
Security and Human-Centered Assessment of BACnet-Controlled DALI Infrastructure in an Educational Building Automation Testbed

arXiv:2606.17089v1 Announce Type: new Abstract: Building automation and control systems integrate heating, ventilation, air conditioning, lighting, sensing, and management functions through specialize…

arXiv Security Read →
◬ AI & Machine Learning Jun 16, 2026
Hong Kong launches AI-focused cybersecurity initiatives for 2026 - Digital Watch Observatory

Hong Kong launches AI-focused cybersecurity initiatives for 2026 Digital Watch Observatory

Digital Watch Observatory Read →
◬ AI & Machine Learning Jun 16, 2026
Towards End-to-End Automation of AI Research

arXiv:2606.15497v1 Announce Type: new Abstract: The automation of science is a long-standing ambition in the field of AI. While the community has made significant progress in automating individual com…

arXiv AI Read →
◬ AI & Machine Learning Jun 16, 2026
Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelines

arXiv:2606.15474v1 Announce Type: new Abstract: Continuous evaluation of LLM products relies on a strong LLM judge treated as ground truth: a cheap monitor scores every interaction and a team is paged…

arXiv AI Read →
◬ AI & Machine Learning Jun 16, 2026
Hierarchical Modeling of ICD Codes in EHR Foundation Models

arXiv:2606.15447v1 Announce Type: new Abstract: Electronic health record foundation models typically treat ICD diagnosis codes as flat tokens, overlooking the clinically meaningful hierarchical struct…

arXiv AI Read →
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