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◬ AI & Machine Learning
Remarks on the Relevance of Privacy Expectations for Default Opt-out Settings

arXiv:2603.15705v1 Announce Type: new Abstract: Over the past few years an increasing number of states in the US have adopted new privacy laws. The majority of these laws require compliance with unive…

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◬ AI & Machine Learning
How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition

arXiv:2603.15714v1 Announce Type: new Abstract: LLM based agents are increasingly deployed in high stakes settings where they process external data sources such as emails, documents, and code reposito…

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◬ AI & Machine Learning
Grant, Verify, Revoke: A User-Centric Pattern for Blockchain Compliance

arXiv:2603.15721v1 Announce Type: new Abstract: In decentralized web applications, users face an inherent conflict between public verifiability and personal privacy. To participate in regulated on-cha…

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◬ AI & Machine Learning
ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

arXiv:2603.15727v1 Announce Type: new Abstract: Autonomous LLM-based agents increasingly operate as long-running processes forming densely interconnected multi-agent ecosystems, whose security propert…

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◬ AI & Machine Learning
Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models

arXiv:2603.15940v1 Announce Type: new Abstract: Vision-language models (VLMs) have recently shown remarkable capabilities in visual understanding and generation, but remain vulnerable to adversarial m…

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◬ AI & Machine Learning
Cross-Scale Persistence Analysis of EM Side-Channels for Reference-Free Detection of Always-On Hardware Trojans

arXiv:2603.16058v1 Announce Type: new Abstract: Always-on hardware Trojans pose a serious challenge to integrated circuit trust, as they remain active during normal operation and are difficult to dete…

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◬ AI & Machine Learning
Resource Consumption Threats in Large Language Models

arXiv:2603.16068v1 Announce Type: new Abstract: Given limited and costly computational infrastructure, resource efficiency is a key requirement for large language models (LLMs). Efficient LLMs increas…

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◬ AI & Machine Learning
Ciphertext-Policy ABE for $\mathsf{NC}^1$ Circuits with Constant-Size Ciphertexts from Succinct LWE

arXiv:2603.16117v1 Announce Type: new Abstract: We construct a lattice-based ciphertext-policy attribute-based encryption (CP-ABE) scheme for $\mathsf{NC}^1$ access policies with constant-size ciphert…

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◬ AI & Machine Learning
Novel CRT-based Asymptotically Ideal Disjunctive Hierarchical Secret Sharing Scheme

arXiv:2603.16267v1 Announce Type: new Abstract: Disjunctive Hierarchical Secret Sharing (DHSS)} scheme is a type of secret sharing scheme in which the set of all participants is partitioned into disjo…

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◬ AI & Machine Learning
Systematization of Knowledge: The Design Space of Digital Payment Systems with Potential for CBDC

arXiv:2603.16320v1 Announce Type: new Abstract: Central Bank Digital Currencies (CBDCs) are proposed as a public response to the uptake of privately run digital payments, with the digital euro, under …

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◬ AI & Machine Learning
Detecting Sentiment Steering Attacks on RAG-enabled Large Language Models

arXiv:2603.16342v1 Announce Type: new Abstract: The proliferation of large-scale IoT networks has been both a blessing and a curse. Not only has it revolutionized the way organizations operate by incr…

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◬ AI & Machine Learning
SseRex: Practical Symbolic Execution of Solana Smart Contracts

arXiv:2603.16349v1 Announce Type: new Abstract: Solana is rapidly gaining traction among smart contract developers and users. However, its growing adoption has been accompanied by a series of major se…

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◬ AI & Machine Learning
Impact of File-Open Hook Points on Backup Ratio in ROFBS on XFS

arXiv:2603.16364v1 Announce Type: new Abstract: Ransomware continues encrypting files during the delay between attack onset and detection. ROFBS mitigates this problem by backing up pre-modification f…

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◬ AI & Machine Learning
Rotated Robustness: A Training-Free Defense against Bit-Flip Attacks on Large Language Models

arXiv:2603.16382v1 Announce Type: new Abstract: Hardware faults, specifically bit-flips in quantized weights, pose a severe reliability threat to Large Language Models (LLMs), often triggering catastr…

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◬ AI & Machine Learning
The Decentralisation Paradox in Digital Identity: Centralising Decentralisation with Digital Wallets?

arXiv:2603.16403v1 Announce Type: new Abstract: Digital identity is shifting from service- and network-centric approaches toward user-centric ones that promise users increased control over their data.…

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◬ AI & Machine Learning
Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

arXiv:2603.16405v1 Announce Type: new Abstract: Semantic segmentation models are widely deployed in safety-critical applications such as autonomous driving, yet their vulnerability to backdoor attacks…

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◬ AI & Machine Learning
SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation

arXiv:2603.16548v1 Announce Type: new Abstract: In light of globalized hardware supply chains, the assurance of hardware components has gained significant interest, particularly in cryptographic appli…

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◬ AI & Machine Learning
Malicious Or Not: Adding Repository Context to Agent Skill Classification

arXiv:2603.16572v1 Announce Type: new Abstract: Agent skills extend local AI agents, such as Claude Code or Open Claw, with additional functionality, and their popularity has led to the emergence of d…

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◬ AI & Machine Learning
SynthChain: A Synthetic Benchmark and Forensic Analysis of Advanced and Stealthy Software Supply Chain Attacks

arXiv:2603.16694v1 Announce Type: new Abstract: Advanced software supply chain (SSC) attacks are increasingly runtime-only and leave fragmented evidence across hosts, services, and build/dependency la…

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◬ AI & Machine Learning
Ember: A Serverless Peer-to-Peer End-to-End Encrypted Messaging System over an IPv6 Mesh Network

arXiv:2603.16735v1 Announce Type: new Abstract: This paper presents Ember, a serverless peer-to-peer messaging system providing end-to-end encrypted communication over a decentralised IPv6 mesh networ…

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◬ AI & Machine Learning
Quantum-Secure-By-Construction (QSC): A Paradigm Shift For Post-Quantum Agentic Intelligence

arXiv:2603.15668v1 Announce Type: cross Abstract: As agentic artificial intelligence systems scale across globally distributed and long lived infrastructures, secure and policy compliant communication…

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◬ AI & Machine Learning
Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory

arXiv:2603.15800v1 Announce Type: cross Abstract: Multi-modal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of visual reasoning tasks, yet their vulnerability …

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◬ AI & Machine Learning
KidsNanny: A Two-Stage Multimodal Content Moderation Pipeline Integrating Visual Classification, Object Detection, OCR, and Contextual Reasoning for Child Safety

arXiv:2603.16181v1 Announce Type: cross Abstract: We present KidsNanny, a two-stage multimodal content moderation architecture for child safety. Stage 1 combines a vision transformer (ViT) with an obj…

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◬ AI & Machine Learning
From Torsors to Topoi: An Introduction with a View Toward $\Sigma$-Protocols in Cryptography

arXiv:2603.16274v1 Announce Type: cross Abstract: This paper provides a preparatory introduction to sheaves and topoi, written as a conceptual continuation of the author's earlier introduction to tors…

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