Here's your daily roundup of the most relevant AI and ML news for June 24, 2026. Today's digest includes 2 security-focused stories. We're also covering 6 research developments. Click through to read the full articles from our curated sources.
Security & Safety
1. ShapedPlugin WordPress Pro Plugins Backdoored in Supply Chain Attack
Multiple WordPress plugins from ShapedPlugin were compromised in a supply chain attack after unknown threat actors managed to tamper with the official release channels and push backdoor code.
"Attackers compromised the vendor's build and distribution pipeline, injecting backdoor code into Pro pl...
Source: The Hacker News (Security) | 1 day ago
2. OpenAI Expands Daybreak With GPT-5.5-Cyber to Help Defenders Patch Security Flaws
OpenAI on Monday said it's releasing an improved version of its GPT‑5.5‑Cyber model to trusted defenders as part of the Daybreak initiative the artificial intelligence (AI) company announced last month.
Calling GPT‑5.5‑Cyber its "strongest model yet for finding and helping patch software vu...
Source: The Hacker News (Security) | 1 day ago
Research & Papers
3. Generating adversarial inputs for a graph neural network model of AC power flow
arXiv:2602.17975v2 Announce Type: replace Abstract: This work formulates and solves optimization problems to generate input points that yield high errors between a neural network's predicted AC power flow solution and solutions to the AC power flow equations. We demonstrate this capability on an...
Source: arXiv - Machine Learning | 10 hours ago
4. Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission
arXiv:2606.23766v1 Announce Type: cross Abstract: The detection and atmospheric characterization of exoplanets have entered a new data-intensive era driven by the James Webb Space Telescope and the upcoming Ariel mission. Modern surveys produce millions of light curves and high-resolution spectr...
Source: arXiv - Machine Learning | 10 hours ago
5. PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models
arXiv:2606.24388v1 Announce Type: cross Abstract: We introduce a large-scale, open-source dataset of pre-generated adversarial attacks for vision-language models (VLMs). The dataset is designed to be diverse, representative, and practical, extending existing benchmarks by covering 10 high-level ...
Source: arXiv - Machine Learning | 10 hours ago
6. Adversarial dynamical systems characterize when data-driven learning succeeds or fails
arXiv:2407.06312v2 Announce Type: replace-cross Abstract: Many systems resist analytical modeling, making data-driven inference of dynamics important. Yet data-driven methods can fail to converge or generalize, leaving open a central question: When can system behavior be learned reliably from da...
Source: arXiv - Machine Learning | 10 hours ago
7. PixJail: Self-Evolving Paper-to-Pipeline Reproduction for Text-to-Image Jailbreak Evaluation
arXiv:2606.24081v1 Announce Type: cross Abstract: As Text-to-Image (T2I) jailbreak techniques evolve rapidly, existing benchmarks and reproduction workflows often struggle to keep pace. More importantly, T2I jailbreak evaluation is not a single prompt-level test, but a pipeline-level problem sha...
Source: arXiv - AI | 10 hours ago
8. An LLM-based Two-Stage Transformer Framework for Cross-Domain Bearing Fault Diagnosis with Limited Data
arXiv:2606.24459v1 Announce Type: new Abstract: Bearing fault diagnosis faces critical challenges when dataset heterogeneity, operating condition variations, and limited labeled data occur simultaneously in industrial environments. Existing approaches address these issues in isolation and rely o...
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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