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◬ AI & Machine Learning Apr 01, 2026
CivicShield: A Cross-Domain Defense-in-Depth Framework for Securing Government-Facing AI Chatbots Against Multi-Turn Adversarial Attacks

arXiv:2603.29062v1 Announce Type: new Abstract: LLM-based chatbots in government services face critical security gaps. Multi-turn adversarial attacks achieve over 90% success against current defenses,…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
Trojan-Speak: Bypassing Constitutional Classifiers with No Jailbreak Tax via Adversarial Finetuning

arXiv:2603.29038v1 Announce Type: new Abstract: Fine-tuning APIs offered by major AI providers create new attack surfaces where adversaries can bypass safety measures through targeted fine-tuning. We …

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
Design Principles for the Construction of a Benchmark Evaluating Security Operation Capabilities of Multi-agent AI Systems

arXiv:2603.28998v1 Announce Type: new Abstract: As Large Language Models (LLMs) and multi-agent AI systems are demonstrating increasing potential in cybersecurity operations, organizations, policymake…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
Attesting LLM Pipelines: Enforcing Verifiable Training and Release Claims

arXiv:2603.28988v1 Announce Type: new Abstract: Modern Large Language Model (LLM) systems are assembled from third-party artifacts such as pre-trained weights, fine-tuning adapters, datasets, dependen…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
KAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT Networks

arXiv:2603.28985v1 Announce Type: new Abstract: By utilising their adaptive activation functions, Kolmogorov-Arnold Networks (KANs) can be applied in a novel way for the diverse machine learning tasks…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
Privacy Guard & Token Parsimony by Prompt and Context Handling and LLM Routing

arXiv:2603.28972v1 Announce Type: new Abstract: The large-scale adoption of Large Language Models (LLMs) forces a trade-off between operational cost (OpEx) and data privacy. Current routing frameworks…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
Differential Privacy for Symbolic Trajectories via the Permute-and-Flip Mechanism

arXiv:2603.28903v1 Announce Type: new Abstract: Privacy techniques have been developed for data-driven systems, but systems with non-numeric data cannot use typical noise-adding techniques. Therefore,…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance

arXiv:2603.28838v1 Announce Type: new Abstract: Intrusion Detection System (IDS) is often calibrated to known attacks and generalizes poorly to unknown threats. This paper proposes GMA-SAWGAN-GP, a no…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation

arXiv:2603.28824v1 Announce Type: new Abstract: Dataset condensation aims to synthesize compact yet informative datasets that retain the training efficacy of full-scale data, offering substantial gain…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models

arXiv:2603.28817v1 Announce Type: new Abstract: Small Language Models (SLMs) are emerging as efficient and economically viable alternatives to Large Language Models (LLMs), offering competitive perfor…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
SkillTester: Benchmarking Utility and Security of Agent Skills

arXiv:2603.28815v1 Announce Type: new Abstract: This technical report presents SkillTester, a tool for evaluating the utility and security of agent skills. Its evaluation framework combines paired bas…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
SafeClaw-R: Towards Safe and Secure Multi-Agent Personal Assistants

arXiv:2603.28807v1 Announce Type: new Abstract: LLM-based multi-agent systems (MASs) are transforming personal productivity by autonomously executing complex, cross-platform tasks. Frameworks such as …

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security

arXiv:2603.28798v1 Announce Type: new Abstract: Physically Unclonable Functions (PUFs) provide promising hardware security for IoT authentication, leveraging inherent randomness suitable for resource …

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-extract 0.3a0

Release: datasette-extract 0.3a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, using the…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-enrichments-llm 0.2a0

Release: datasette-enrichments-llm 0.2a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, u…

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◬ AI & Machine Learning Apr 01, 2026
datasette-llm-usage 0.2a0

Release: datasette-llm-usage 0.2a0 Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant . Now depends on datasette-llm for model configur…

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◬ AI & Machine Learning Apr 01, 2026
datasette-llm 0.1a5

Release: datasette-llm 0.1a5 The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
Quoting Soohoon Choi

I want to argue that AI models will write good code because of economic incentives. Good code is cheaper to generate and maintain. Competition is high between the AI models right now, and the ones tha…

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◬ AI & Machine Learning Mar 31, 2026
Supply Chain Attack on Axios Pulls Malicious Dependency from npm

Supply Chain Attack on Axios Pulls Malicious Dependency from npm Useful writeup of today's supply chain attack against Axios, the HTTP client NPM package with 101 million weekly downloads . Versions 1…

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◬ AI & Machine Learning Mar 31, 2026
datasette-llm 0.1a4

Release: datasette-llm 0.1a4 Ability to configure different API keys for models based on their purpose - for example, set it up so enrichments always use gpt-5.4-mini with an API key dedicated to that…

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
llm-all-models-async 0.1

Release: llm-all-models-async 0.1 LLM plugins can define new models in both sync and async varieties. The async variants are most common for API-backed models - sync variants tend to be things that ru…

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◬ AI & Machine Learning Mar 31, 2026
llm 0.30

Release: llm 0.30 The register_models() plugin hook now takes an optional model_aliases parameter listing all of the models, async models and aliases that have been registered so far by other plugins.…

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◬ AI & Machine Learning Mar 31, 2026
Build with Veo 3.1 Lite, our most cost-effective video generation model

Veo 3.1 Lite is now available in paid preview through the Gemini API and for testing in Google AI Studio.

Google AI Read →
◬ AI & Machine Learning Mar 31, 2026
llm-echo 0.4

Release: llm-echo 0.4 Prompts now have the input_tokens and output_tokens fields populated on the response. Tags: llm

Simon Willison Read →
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