Here's your daily roundup of the most relevant AI and ML news for April 09, 2026. Today's digest includes 1 security-focused story. We're also covering 6 research developments. Click through to read the full articles from our curated sources.
Security & Safety
1. Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems
Artificial Intelligence (AI) company Anthropic announced a new cybersecurity initiative called Project Glasswing that will use a preview version of its new frontier model, Claude Mythos, to find and address security vulnerabilities. The model will be used by a s...
Source: The Hacker News (Security) | 1 day ago
HuggingFace & Models
2. Safetensors is Joining the PyTorch Foundation
Source: HuggingFace Blog | 1 day ago
Research & Papers
3. Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts
arXiv:2604.05872v1 Announce Type: cross Abstract: The deployment of large language models (LLMs) in Swiss financial and regulatory contexts demands empirical evidence of both production reliability and adversarial security, dimensions not jointly operationalized in existing Swiss-focused evaluat...
Source: arXiv - AI | 10 hours ago
4. Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
arXiv:2407.14971v3 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) rely heavily on pretrained vision encoders to support downstream tasks such as image captioning, visual question answering, and zero-shot classification. Despite their strong performance, these encoders remai...
Source: arXiv - AI | 10 hours ago
5. FreakOut-LLM: The Effect of Emotional Stimuli on Safety Alignment
arXiv:2604.04992v1 Announce Type: cross Abstract: Safety-aligned LLMs go through refusal training to reject harmful requests, but whether these mechanisms remain effective under emotionally charged stimuli is unexplored. We introduce FreakOut-LLM, a framework investigating whether emotional cont...
Source: arXiv - AI | 10 hours ago
6. Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment
arXiv:2604.06289v1 Announce Type: cross Abstract: In this paper, we analyze and improve the adversarial robustness of a convolutional neural network (CNN) that assists crystal-collimator alignment at CERN's Large Hadron Collider (LHC) by classifying a beam-loss monitor (BLM) time series during c...
Source: arXiv - Machine Learning | 10 hours ago
7. Tight Convergence Rates for Online Distributed Linear Estimation with Adversarial Measurements
arXiv:2604.06282v1 Announce Type: cross Abstract: We study mean estimation of a random vector $X$ in a distributed parameter-server-worker setup. Worker $i$ observes samples of $a_i^\top X$, where $a_i^\top$ is the $i$th row of a known sensing matrix $A$. The key challenges are adversarial measu...
Source: arXiv - Machine Learning | 10 hours ago
8. Self-Discovered Intention-aware Transformer for Multi-modal Vehicle Trajectory Prediction
arXiv:2604.07126v1 Announce Type: cross Abstract: Predicting vehicle trajectories plays an important role in autonomous driving and ITS applications. Although multiple deep learning algorithms are devised to predict vehicle trajectories, their reliant on specific graph structure (e.g., Graph Neu...
Source: arXiv - Machine Learning | 10 hours ago
About This Digest
This digest is automatically curated from leading AI and tech news sources, filtered for relevance to AI security and the ML ecosystem. Stories are scored and ranked based on their relevance to model security, supply chain safety, and the broader AI landscape.
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