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◬ AI & Machine Learning
The opportunity at home – can AI drive innovation in personal assistant devices and sign language?

The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog .

Microsoft AI Read →
◬ AI & Machine Learning
The First Healthcare Robotics Dataset and Foundational Physical AI Models for Healthcare Robotics
Hugging Face Read →
◬ AI & Machine Learning
Introducing Storage Buckets on the Hugging Face Hub
Hugging Face Read →
◬ AI & Machine Learning
Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries
Hugging Face Read →
◬ AI & Machine Learning
Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews

Alfred Wahlforss was running out of options. His startup, Listen Labs , needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent $5…

VentureBeat AI Read →
◬ AI & Machine Learning
Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI

Salesforce on Tuesday launched an entirely rebuilt version of Slackbot , the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully pow…

VentureBeat AI Read →
◬ AI & Machine Learning
Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team bui…

VentureBeat AI Read →
◬ AI & Machine Learning
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

Nous Research , the open-source artificial intelligence startup backed by crypto venture firm Paradigm , released a new competitive programming model on Monday that it says matches or exceeds several …

VentureBeat AI Read →
◬ AI & Machine Learning
A Requirement-Based Framework for Engineering Adaptive Authentication

arXiv:2603.12968v1 Announce Type: new Abstract: Authentication is crucial to confirm that an individual or entity trying to perform an action is actually who or what they claim to be. In dynamic envir…

arXiv Security Read →
◬ AI & Machine Learning
Mitigating Collusion in Proofs of Liabilities

arXiv:2603.12990v1 Announce Type: new Abstract: Cryptocurrency exchanges use proofs of liabilities (PoLs) to prove to their customers their liabilities committed on-chain, thereby enhancing their trus…

arXiv Security Read →
◬ AI & Machine Learning
FraudFox: Adaptable Fraud Detection in the Real World

arXiv:2603.13014v1 Announce Type: new Abstract: The proposed method (FraudFox) provides solutions to adversarial attacks in a resource constrained environment. We focus on questions like the following…

arXiv Security Read →
◬ AI & Machine Learning
Purify Once, Edit Freely: Breaking Image Protections under Model Mismatch

arXiv:2603.13028v1 Announce Type: new Abstract: Diffusion models enable high-fidelity image editing but can also be misused for unauthorized style imitation and harmful content generation. To mitigate…

arXiv Security Read →
◬ AI & Machine Learning
Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents

arXiv:2603.13151v1 Announce Type: new Abstract: OpenClaw-like agents offer substantial productivity benefits, yet they are insecure by default because they combine untrusted inputs, autonomous action,…

arXiv Security Read →
◬ AI & Machine Learning
Verification of Robust Properties for Access Control Policies

arXiv:2603.13181v1 Announce Type: new Abstract: Existing methods for verifying access control policies require the policy to be complete and fully determined before verification can proceed, but in pr…

arXiv Security Read →
◬ AI & Machine Learning
Prompt Injection as Role Confusion

arXiv:2603.12277v1 Announce Type: cross Abstract: Language models remain vulnerable to prompt injection attacks despite extensive safety training. We trace this failure to role confusion: models infer…

arXiv Security Read →
◬ AI & Machine Learning
SpectralGuard: Detecting Memory Collapse Attacks in State Space Models

arXiv:2603.12414v1 Announce Type: cross Abstract: State Space Models (SSMs) such as Mamba achieve linear-time sequence processing through input-dependent recurrence, but this mechanism introduces a cr…

arXiv Security Read →
◬ AI & Machine Learning
DiscoRD: An Experimental Methodology for Quickly Discovering the Reliable Read Disturbance Threshold of Real DRAM Chips

arXiv:2603.12435v1 Announce Type: cross Abstract: State-of-the-art DRAM read disturbance mitigations rely on the read disturbance threshold (RDT) (e.g., the number of aggressor row activations needed …

arXiv Security Read →
◬ AI & Machine Learning
RTD-Guard: A Black-Box Textual Adversarial Detection Framework via Replacement Token Detection

arXiv:2603.12582v1 Announce Type: cross Abstract: Textual adversarial attacks pose a serious security threat to Natural Language Processing (NLP) systems by introducing imperceptible perturbations tha…

arXiv Security Read →
◬ AI & Machine Learning
ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents

arXiv:2603.12614v1 Announce Type: cross Abstract: Tool-augmented LLM agents increasingly rely on multi-step, multi-tool workflows to complete real tasks. This design expands the attack surface, becaus…

arXiv Security Read →
◬ AI & Machine Learning
SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking

arXiv:2603.12749v1 Announce Type: cross Abstract: Watermarking the initial noise of diffusion models has emerged as a promising approach for image provenance, but content-independent noise patterns ca…

arXiv Security Read →
◬ AI & Machine Learning
Balancing the privacy-utility trade-off: How to draw reliable conclusions from private data

arXiv:2603.12753v1 Announce Type: cross Abstract: Absolute anonymization, conceived as an irreversible transformation that prevents re-identification and sensitive value disclosure, has proven to be a…

arXiv Security Read →
◬ AI & Machine Learning
Editing Away the Evidence: Diffusion-Based Image Manipulation and the Failure Modes of Robust Watermarking

arXiv:2603.12949v1 Announce Type: cross Abstract: Robust invisible watermarks are widely used to support copyright protection, content provenance, and accountability by embedding hidden signals design…

arXiv Security Read →
◬ AI & Machine Learning
Test-Time Attention Purification for Backdoored Large Vision Language Models

arXiv:2603.12989v1 Announce Type: cross Abstract: Despite the strong multimodal performance, large vision-language models (LVLMs) are vulnerable during fine-tuning to backdoor attacks, where adversari…

arXiv Security Read →
◬ AI & Machine Learning
PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses

arXiv:2603.13026v1 Announce Type: cross Abstract: Prompt injection poses serious security risks to real-world LLM applications, particularly autonomous agents. Although many defenses have been propose…

arXiv Security Read →
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