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◬ AI & Machine Learning Aug 10, 2026
WebGrader: Training LLMs for Web Development with Self-Evolving Programmatic Grader

arXiv:2608.06474v1 Announce Type: new Abstract: Large language models increasingly generate complete websites from natural-language descriptions, and reinforcement learning has become a central approa…

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◬ AI & Machine Learning Aug 10, 2026
Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin

arXiv:2608.06411v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) achieve strong performance across diverse vision-language tasks, but their efficiency is limited by the cost of…

arXiv AI Read →
◬ AI & Machine Learning Aug 10, 2026
ADIAS: Automated Design of Interactive Agentic Systems

arXiv:2608.06410v1 Announce Type: new Abstract: Automated agent design improves agent harnesses through iterative revision, evaluation, and feedback summarization. Existing methods are largely candida…

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◬ AI & Machine Learning Aug 10, 2026
Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes

arXiv:2608.06402v1 Announce Type: new Abstract: Community detection is a fundamental task in graph analytics that aims to identify cohesive groups of entities with similar behaviors or interests. Clas…

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◬ AI & Machine Learning Aug 10, 2026
Beyond Routing Weights: Faithful Response-Level Interpretation of Mixture-of-Experts Reward Models via Contribution Contrast

arXiv:2608.06400v1 Announce Type: new Abstract: Reward models are central to learning from human preferences, yet identifying what drives their predictions remains challenging. Recent sparse Mixture-o…

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◬ AI & Machine Learning Aug 10, 2026
EntropyMoE: Entropy-Aware Sparse Expert Routing for Tokenizer-Free LLMs

arXiv:2608.06398v1 Announce Type: new Abstract: Recent byte-level large language models (LLMs) have made tokenizer-free modeling increasingly competitive by grouping bytes into dynamically sized patch…

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◬ AI & Machine Learning Aug 10, 2026
Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning

arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit multiple semantics simultaneously. Existing …

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◬ AI & Machine Learning Aug 10, 2026
Statistical Analysis of Executability and Program Equivalence in Decompilation for IoT Vulnerability Detection

arXiv:2608.06960v1 Announce Type: cross Abstract: Internet of Things (IoT) devices handle sensitive privacy-related information such as user audio, video, and authentication data, making it essential …

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
When Coordination Becomes a Threat: Communication Attacks in LLM-Controlled Multi-Robot Systems

arXiv:2608.06830v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used as high-level planners in embodied multi-robot systems, enabling robots to interpret natural langua…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Resource-Aware Intrusion Detection in Infrastructure Networks: A Game-Theoretic Approach

arXiv:2608.06655v1 Announce Type: cross Abstract: Infrastructure networks increasingly rely on distributed sensing to detect intrusions before attackers reach valuable assets. Yet sensing devices, com…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild

arXiv:2608.07451v1 Announce Type: new Abstract: Phishing attacks have always been a favored vector for adversaries to defraud users, bypass modern defense mechanisms, and penetrate critical systems. A…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
"Operator, can you hear me?" A Faithful Line into the UNISOC Baseband

arXiv:2608.07143v1 Announce Type: new Abstract: Baseband processors are reachable over the radio at all times. Their most security-relevant logic runs deep inside protocol state machines: the control-…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
SoK: Cryptographic Key Recovery for Cryptoasset Custody and Financial Technologies

arXiv:2608.07104v1 Announce Type: new Abstract: Cryptoasset systems often bind cryptographic key control to financial control: losing a wallet seed, custody share, hardware device, or smart-account cr…

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◬ AI & Machine Learning Aug 10, 2026
Soft Redaction of Image Provenance via Zero-Knowledge Proofs

arXiv:2608.07063v1 Announce Type: new Abstract: Content provenance standards, such as C2PA, are increasingly used to attach signed records of origin, editing history, and rights to digital images. How…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Effects of parental controls in the context of Digital Forensics

arXiv:2608.07016v1 Announce Type: new Abstract: Parental control systems are designed to protect minors online, but can inadvertently obstruct digital forensic investigations. When enabled, these syst…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
HarnessSafe: Evaluating Safety Across Persistent Carriers in Agent Harnesses

arXiv:2608.06984v1 Announce Type: new Abstract: Modern agent harnesses persist state across tasks and sessions through persistent carriers like memory, skills, tools, and shared artifacts. However, th…

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◬ AI & Machine Learning Aug 10, 2026
Casting the Net! Revisiting MasterFace Impersonation Attacks

arXiv:2608.06952v1 Announce Type: new Abstract: Impersonation is a fundamental security threat in face recognition systems (FRSs). While the security of FRSs has been challenged by various attack vect…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
When Context Bites: Detecting RAG Poisoning via Document-Level Attention Collapse

arXiv:2608.06947v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is indispensable for enhancing large language models. However, RAGs are increasingly susceptible to poisoning attac…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Rigid-Covert GNSS Spoofing of UAV Swarms: A Structural Blind Spot, Its Detection Limit, and Absolute-Anchor Defenses

arXiv:2608.06885v1 Announce Type: new Abstract: Cooperative UAV-swarm defenses commonly cross-check GNSS positions against measured inter-drone geometry. We show that this relative-geometry channel ha…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains

arXiv:2608.06862v1 Announce Type: new Abstract: Computer-use agents~(CUAs) have transformed large language models into persistent execution systems capable of generating, storing, and reusing artifact…

arXiv Security Read →
◬ AI & Machine Learning Aug 10, 2026
Understanding and Improving Model Editing for Secure Code Generation

arXiv:2608.06848v1 Announce Type: new Abstract: Large language models (LLMs) are widely used for code generation, yet they can reproduce vulnerable implementations learned from insecure training patte…

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◬ AI & Machine Learning Aug 10, 2026
MIFA: An MILP-based Framework for Improving Differential Fault Attacks

arXiv:2608.06837v1 Announce Type: new Abstract: At ASIACRYPT 2021, Baksi et al. introduced DEFAULT, a block cipher designed to algorithmically resist Differential Fault Attack (DFA), claiming 64-bit D…

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◬ AI & Machine Learning Aug 10, 2026
POKEx: Performance analysis of POKE-key exchange and SIDH-variants

arXiv:2608.06826v1 Announce Type: new Abstract: In this paper, we present a comparative performance analysis of the POKE-based key exchange and SIDH variants. SIDH gained attention for its small key s…

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◬ AI & Machine Learning Aug 10, 2026
On a General Theoretical Framework for Radio Frequency Fingerprint-Based Authentication

arXiv:2608.06805v1 Announce Type: new Abstract: While radio frequency fingerprint (RFF)-based wireless device authentication has been widely studied across different datasets and scenarios, there stil…

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