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◬ AI & Machine Learning May 25, 2026
Validating Threat Modeling Results with the Help of Vulnerable Test Applications

arXiv:2605.23695v1 Announce Type: new Abstract: Validating threat modeling results remains difficult because completeness is hard to judge without an external oracle. Existing studies often rely on ex…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Less Effort, Shorter Proofs: Reinforcement Learning for Security Protocol Analysis in Tamarin

arXiv:2605.23643v1 Announce Type: new Abstract: Tools like Tamarin and ProVerif have achieved notable success in analyzing and verifying complex real-world protocols such as EMV, 5G, and WPA2, even de…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Kernel-Based ReLU Approximation for Homomorphic Encryption-Compatible Privacy-preserving Deep Learning Models

arXiv:2605.23641v1 Announce Type: new Abstract: As privacy concerns in AI technologies continue to grow, Homomorphic Encryption (HE) offers a way to perform computations on encrypted data without the …

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference

arXiv:2605.23640v1 Announce Type: new Abstract: Large Language Models (LLMs) rely on Key-Value (KV) caching to accelerate inference, and many serving systems further share the KV cache across users' r…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection

arXiv:2605.23623v1 Announce Type: new Abstract: We present a longitudinal, drift-aware evaluation of adversarial robustness across more than a decade of Android applications using static and dynamic f…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai

arXiv:2605.23598v1 Announce Type: new Abstract: Short-video platforms like Douyin and Kwai have become central to adolescent digital life, but they also risk exposing teens to algorithmically amplifie…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
AI Security Research Should Better Incentivize Defense Research

arXiv:2605.23448v1 Announce Type: new Abstract: This work examines an imbalance in artificial intelligence (AI) security research: the field tends to produce more work on attacking AI systems than on …

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Security, Privacy, and Ethical Risks in OpenClaw

arXiv:2605.23330v1 Announce Type: new Abstract: This paper systematically investigates the security, privacy, and ethical risks, as well as the traceability challenges of OpenClaw, a locally executabl…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks

arXiv:2605.23243v1 Announce Type: new Abstract: We evaluate whether frontier LLMs are ready for cybersecurity through a dual-mode benchmark: white-box function-level vulnerability detection (VulnLLM-R…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Prompt Overflow: What the Guardrail Inspects Is Not What the Model Infers

arXiv:2605.23196v1 Announce Type: new Abstract: Guardrail models (a.k.a. safety checkers) are widely deployed to screen user inputs before they reach large language models (LLMs), serving as a primary…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection

arXiv:2605.23175v1 Announce Type: new Abstract: Proprietary large language models (LLMs) face risks of intellectual property (IP) violation, as adversaries can replicate an LLM by collecting input-out…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
PoisonForge: Task-Level Targeted Poisoning Benchmark for Instruction-Tuned LLMs

arXiv:2605.23168v1 Announce Type: new Abstract: When practitioners fine-tune LLMs on unvetted datasets, an adversary can exploit the data supply chain through task-level poisoning: inserting a small n…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference

arXiv:2605.23158v1 Announce Type: new Abstract: The deployment of large language models (LLMs) on resource-constrained devices remains challenging, spurring interest in split inference, where models a…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Encrypted Neural Networks without Overflows

arXiv:2605.23096v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) enables private inference by evaluating neural networks on encrypted data. In this way, we can delegate the computati…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
BYOT-CPS: A Hybrid Cyber-Physical Systems Testbed for IoT Security Assessment and Platform Evaluation

arXiv:2605.23059v1 Announce Type: new Abstract: Internet of Things (IoT) security research continues to face a methodological gap between scalable virtual experimentation and realistic device behaviou…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Botnet Detection on CTU-13 Using Lightweight Machine Learning Models

arXiv:2605.23004v1 Announce Type: new Abstract: Botnets are among the most persistent cyber threats, enabling large-scale attacks such as spam, credential theft, and distributed denial-of-service (DDo…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
Beyond Zero: Enterprise Security for the AI Era

arXiv:2605.22985v1 Announce Type: new Abstract: The rise of autonomous AI agents and the accelerating velocity of corporate data access are stretching the application-centric model of zero trust secur…

arXiv Security Read →
◬ AI & Machine Learning May 25, 2026
The Misattribution Gap: When Memory Poisoning Looks Like Model Failure in Agentic AI Systems

arXiv:2605.22842v1 Announce Type: new Abstract: Multi-agent AI pipelines typically assume that agent misconduct originates from model misalignment. We identify a structural failure in this assumption,…

arXiv Security Read →
⬡ Vulnerabilities & CVEs May 25, 2026
CVE-2026-4372 | huggingface transformers up to 5.2.x config.json AutoModelForCausalLM.from_pretrained _attn_implementation_internal missing serialization control element (EUVD-2026-31598)

A vulnerability marked as problematic has been reported in huggingface transformers up to 5.2.x . This vulnerability affects the function AutoModelForCausalLM.from_pretrained of the file config.json .…

VulDB Read →
⬡ Vulnerabilities & CVEs May 25, 2026
CVE-2026-48831 | WineHQ Wine up to 11.0 MIME resource transfer (EUVD-2026-31599)

A vulnerability described as critical has been identified in WineHQ Wine up to 11.0 . This issue affects some unknown processing of the component MIME Handler . Such manipulation leads to incorrect re…

VulDB Read →
⬡ Vulnerabilities & CVEs May 25, 2026
CVE-2026-48832 | SPIP up to 4.4.14 ecrire action/cookie.php redirect (EUVD-2026-31601)

A vulnerability classified as problematic has been found in SPIP up to 4.4.14 . Impacted is an unknown function of the file action/cookie.php of the component ecrire . Performing a manipulation result…

VulDB Read →
⬡ Vulnerabilities & CVEs May 25, 2026
CVE-2026-9489 | Acer NitrorSense up to 3.01.3052 path traversal (EUVD-2026-31619)

A vulnerability classified as critical was found in Acer NitrorSense up to 3.01.3052 . The affected element is an unknown function. Executing a manipulation can lead to path traversal. This vulnerabil…

VulDB Read →
⬡ Vulnerabilities & CVEs May 25, 2026
CVE-2026-8652 | NEC Platforms Aterm MR51FN/Aterm CM51FD os command injection (EUVD-2026-31620)

A vulnerability, which was classified as critical , has been found in NEC Platforms Aterm MR51FN and Aterm CM51FD . The impacted element is an unknown function. The manipulation leads to os command in…

VulDB Read →
⬡ Vulnerabilities & CVEs May 25, 2026
CVE-2026-6059 | NEC Platforms Aterm WX1800HP Web Management Interface cross site scripting (EUVD-2026-31623)

A vulnerability, which was classified as problematic , was found in NEC Platforms Aterm WX1800HP, Aterm WX5400HP, Aterm WX7800T8, Aterm WX11000T12, Aterm WX3000HP2, Aterm WX4200D5, Aterm GX621A1, Ater…

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