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Stress-Testing Structure-Aware Calibration of Malware Graph Neural Networks...

arXiv:2609.28517v1 Announce Type: new Abstract: Post-hoc malware calibrators can condition confidence on graph structure, but their structural inputs may leave the support represented by validation...

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An Exposition of GPT Astra's Proof of Lower Bound on DP Continual Counting

arXiv:2609.28528v1 Announce Type: new Abstract: The goal of this note is to give a detailed proof, to the best of our understanding, of the recent presentation by Harrison and Leeman...

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Privacy Leakage Through AI-mediated Analysis of Smartphone Data

arXiv:2609.28537v1 Announce Type: new Abstract: Over the past thirty years, the online advertising industry built a large-scale data collection ecosystem, with the goal of tracking a user's online...

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Who Is Behind the Harness? Fingerprinting LLMs through Agentic Behavior

arXiv:2609.28559v1 Announce Type: new Abstract: LLMs increasingly operate through coding-agent harnesses that inspect repositories, invoke tools, and modify files. Substituting the model behind such an...

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Don't Read the Log: Execution Traces Contaminate Verifiers in...

arXiv:2609.28564v1 Announce Type: new Abstract: Agentic video-generation systems close a loop between a generator and a verifier: an LLM plans shots, calls a text-to-video model, and a multimodal judge...

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Where Cyber Agents Struggle: Bottleneck Analysis of Multi-Stage LLM Agents

arXiv:2609.28572v1 Announce Type: new Abstract: Multi-stage LLM-based cyber agents may complete attack workflows while remaining brittle, costly, or reliant on incorrect interpretations of execution...

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Persistent Billable State: Denial-of-Wallet Attacks and Defenses in...

arXiv:2609.28585v1 Announce Type: new Abstract: Multi-step tool-calling LLM agents rely on host runtimes to preserve state across turns. When a runtime carries an external tool return into later model...

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Agent Approval Laundering: Transitive Effects Beyond the Approved Invocation

arXiv:2609.28586v1 Announce Type: new Abstract: Coding-agent approval interfaces bind a human decision to a command or tool call, while developer tools execute the transitive workflow that invocation...

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BRFID: Toward Byzantine-Robust Federated Intrusion Detection

arXiv:2609.28599v1 Announce Type: new Abstract: Flipping 60\% of training labels from a single Byzantine client using label-flipping model poisoning self-degrades an attacker's own federated detection...

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CONCURDEP: Event-Guided Analysis of Dependency Invalidation in CPython...

arXiv:2609.28608v1 Announce Type: new Abstract: Removing CPython's Global Interpreter Lock (GIL) exposes native code to concurrency absent from ordinary C types. Mutation or re-entry can revoke a...

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Decision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic...

arXiv:2609.28613v1 Announce Type: new Abstract: Most studies of prompt injection focus on generative agents, leaving their effects on models with schema-defined outputs unclear. We examine these...

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"What I See is What I Hear": Deepfake Detection Across Diverse Hearing Abilities

arXiv:2609.28659v1 Announce Type: new Abstract: The proliferation of audiovisual deepfakes has lowered the cost of fraud, impersonation, and misinformation, but their success ultimately depends on...

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zkSAS: Practical Zero-Knowledge Proofs for Verifiable Spectrum Access Management

arXiv:2609.28699v1 Announce Type: new Abstract: Dynamic Spectrum Access (DSA) through the Spectrum Access Systems (SAS) elevates spectral efficiency, yet existing centralized models face allocation...

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Unmasking Shortcut Learning in IoT Intrusion Detection: A Forensic,...

arXiv:2609.28725v1 Announce Type: new Abstract: Machine learning-based Network Intrusion Detection Systems often report near-perfect performance on IoT benchmarks. However, whether these models learn...

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Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data...

arXiv:2609.28843v1 Announce Type: new Abstract: Blockchain and artificial intelligence (AI) are converging into a single infrastructural layer for securing data sharing, model integrity, and autonomous...

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When Do Differentially Private Inputs Protect Graph Shift Operators?

arXiv:2609.28899v1 Announce Type: new Abstract: We study the differential privacy (DP) of a graph shift operator (GSO) when an analyst observes the output of a graph filter. In particular, we study the...

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Codetta: High-Capacity, Keyless, and Undetectable Multi-Agent Collusion

arXiv:2609.28900v1 Announce Type: new Abstract: Multi-agent systems built on large language models (LLMs) are increasingly deployed in high-stakes settings such as finance, healthcare, and software...

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On the Effectiveness of Kernel-Level Evidence for Agent Security

arXiv:2609.28915v1 Announce Type: new Abstract: LLM agents are deployed into infrastructure that grants them broad host authority, yet existing agent-security benchmarks and defenses operate almost...

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Calibrated Decision Models for Autonomous Penetration-Testing Harnesses: JEV...

arXiv:2609.28940v1 Announce Type: new Abstract: Autonomous penetration-testing harnesses use large language models (LLMs) for reconnaissance, exploitation, and reporting, but often rely on those same...

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DistillGuard: Malicious NPM Package Detection and API Attack Chain Analysis...

arXiv:2609.28996v1 Announce Type: new Abstract: The Node.js ecosystem heavily relies on NPM packages, and software supply chain attacks targeting malicious NPM packages are rampant. Malicious code...

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