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◬ AI & Machine Learning Apr 15, 2026
VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization

arXiv:2604.12431v1 Announce Type: new Abstract: Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify th…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Practical Evaluation of the Crypto-Agility Maturity Model

arXiv:2604.12428v1 Announce Type: new Abstract: Cryptographic agility is a key prerequisite for maintaining the long-term security of digital communication, particularly in light of the transition to …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Security and Resilience in Autonomous Vehicles: A Proactive Design Approach

arXiv:2604.12408v1 Announce Type: new Abstract: Autonomous vehicles (AVs) promise efficient, clean and cost-effective transportation systems, but their reliance on sensors, wireless communications, an…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Tamper-Proofing with Self-Modifying Code

arXiv:2604.12407v1 Announce Type: new Abstract: Classical computability theory tells us that self-modifying code (SMC) on a deterministic universal Turing machine can be simulated by non-SMC code on t…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors

arXiv:2604.12359v1 Announce Type: new Abstract: Safety-aligned large language models (LLMs) are increasingly deployed in real-world pipelines, yet this deployment also enlarges the supply-chain attack…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training

arXiv:2604.12342v1 Announce Type: new Abstract: Training models on a carefully chosen portion of data rather than the full dataset is now a standard preprocess for modern ML. From vision coreset selec…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains

arXiv:2604.12329v1 Announce Type: new Abstract: As cross-chain interoperability advances, decentralized finance (DeFi) protocols enable illicit funds to be reorganized into uniform liquid assets that …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
WebAgentGuard: A Reasoning-Driven Guard Model for Detecting Prompt Injection Attacks in Web Agents

arXiv:2604.12284v1 Announce Type: new Abstract: Web agents powered by vision-language models (VLMs) enable autonomous interaction with web environments by perceiving and acting on both visual and text…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
SpanKey: Dynamic Key Space Conditioning for Neural Network Access Control

arXiv:2604.12254v1 Announce Type: new Abstract: SpanKey is a lightweight way to gate inference without encrypting weights or chasing leaderboard accuracy on gated inference. The idea is to condition a…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs

arXiv:2604.12232v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed across diverse domains, yet their vulnerability to jailbreak attacks, where adversarial inputs by…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
From IOCs to Regex: Automating CTI Operationalization for SOC with LLMs

arXiv:2604.12228v1 Announce Type: new Abstract: Cyber Threat Intelligence (CTI) reports contain Indicators of Compromise (IOCs) that are critical for security operations. To operationalize these IOCs …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
TimeMark: A Trustworthy Time Watermarking Framework for Exact Generation-Time Recovery from AIGC

arXiv:2604.12216v1 Announce Type: new Abstract: The widespread use of Large Language Models (LLMs) in text generation has raised increasing concerns about intellectual property disputes. Watermarking …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Mitigating S-RAHA: An On-device Framework to Prevent Forwarding of Re-Captured Images

arXiv:2604.12178v1 Announce Type: new Abstract: Protecting sensitive visual content from unauthorized redistribution is a growing challenge for privacy focused mobile applications, including dating pl…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
COBALT-TLA: A Neuro-Symbolic Verification Loop for Cross-Chain Bridge Vulnerability Discovery

arXiv:2604.12172v1 Announce Type: new Abstract: We present COBALT-TLA, a neuro-symbolic verification loop that pairs an LLM with TLC, the TLA+ model checker, in an automated REPL. The LLM generates bo…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference

arXiv:2604.12168v1 Announce Type: new Abstract: The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transportat…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests

arXiv:2604.12064v1 Announce Type: new Abstract: Coding agents and LLM-powered applications routinely send potentially sensitive content to cloud LLM APIs where it may be logged, retained, used for tra…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Can we Watermark Low-Entropy LLM Outputs?

arXiv:2604.12051v1 Announce Type: new Abstract: A recent and exciting thread of work focuses on developing methods for watermarking the output of large language models (LLMs). We focus on provably und…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
SIR-Bench: Evaluating Investigation Depth in Security Incident Response Agents

arXiv:2604.12040v1 Announce Type: new Abstract: We present SIR-Bench, a benchmark of 794 test cases for evaluating autonomous security incident response agents that distinguishes genuine forensic inve…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Evaluating Lightweight Block Cipher Payload Encryption for Real-Time CAN Traffic

arXiv:2604.11853v1 Announce Type: new Abstract: This study evaluates the feasibility of integrating lightweight block cipher payload encryption into a real-time embedded controller area network (CAN) …

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

arXiv:2604.11839v1 Announce Type: new Abstract: Autonomous AI agents built on open-source runtimes such as OpenClaw expose every available tool to every session by default, regardless of the task. A s…

arXiv Security Read →
◬ AI & Machine Learning Apr 15, 2026
Best Python Libraries for Cybersecurity: 2026 Edition - Dailyhunt

Best Python Libraries for Cybersecurity: 2026 Edition Dailyhunt

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◬ AI & Machine Learning Apr 15, 2026
AI Security and Cybersecurity Summit for Enterprises - Hong Kong Computer Emergency Response Team Coordination Centre

AI Security and Cybersecurity Summit for Enterprises Hong Kong Computer Emergency Response Team Coordination Centre

Hong Kong Computer Emergency Response Team Coordination Centre Read →
◬ AI & Machine Learning Apr 15, 2026
datasette-ports 0.3

Release: datasette-ports 0.3 A small update for my tool for helping me figure out what all of the Datasette instances on my laptop are up to. Show working directory derived from each PID Show the full…

Simon Willison Read →
◬ AI & Machine Learning Apr 15, 2026
Zig 0.16.0 release notes: "Juicy Main"

Zig 0.16.0 release notes: "Juicy Main" Zig has really good release notes - comprehensive, detailed, and with relevant usage examples for each of the new features. Of particular note in the newly relea…

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