Here's your daily roundup of the most relevant AI and ML news for July 11, 2026. We're also covering 7 research developments. Click through to read the full articles from our curated sources.
HuggingFace & Models
1. Profiling in PyTorch (Part 3): Attention is all you profile
Source: HuggingFace Blog | 1 day ago
Research & Papers
2. Mechanistic Interpretability of LLM Jailbreaks via Internal Attribution Graphs
arXiv:2607.07903v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit remarkable capabilities but remain highly vulnerable to adversarial prompts and jailbreak attacks. Existing approaches primarily analyze these failures through input-output behaviors or attribution methods, of...
Source: arXiv - AI | 10 hours ago
3. Adversarial Social Epistemology for Assemblies of Humans and Large Language Models
arXiv:2607.07760v1 Announce Type: new Abstract: We outline an adversarial social epistemology (ASE) for densely interactive communicative landscapes in which public assertions are scaffolded by chains of testimony, inference, institutional certification, and tacit trust. In such landscapes, agen...
Source: arXiv - AI | 10 hours ago
4. Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT
arXiv:2607.07922v1 Announce Type: cross Abstract: Vision Transformers (ViTs) remain vulnerable to localized adversarial attacks, e.g., adversarial patches, while recent test-time defenses mitigate them by suppressing image tokens with abnormally high attention scores. These defenses exploit a st...
Source: arXiv - AI | 10 hours ago
5. Prismata: Confining Cross-Site Prompt Injection in Web Agents
arXiv:2607.08147v1 Announce Type: cross Abstract: Autonomous web agents promise to automate everyday browsing tasks, but inherit one of the web's oldest attack surfaces. Cross-Site Scripting proved that mixing trusted and untrusted content is dangerous, even on benign pages. Agents resurface thi...
Source: arXiv - AI | 10 hours ago
6. ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning
arXiv:2607.07719v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning adapts a large language model to one task cheaply, but across a task sequence LoRA-style methods keep stacking low-rank updates on the same frozen weight, so each new task tends to overwrite the previous ones. We p...
Source: arXiv - AI | 10 hours ago
7. When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
arXiv:2606.03238v2 Announce Type: replace-cross Abstract: RLHF evaluation should track how failures emerge, where they localize, and which warning signals appear before external quality degrades. We study this problem with a compact RLHF pipeline built for this paper, including PPO, DPO, uncerta...
Source: arXiv - AI | 10 hours ago
8. Phase-Preserving Trimodal Transformer for Tropical Forest Biomass Estimation Using Optical and PolInSAR Data
arXiv:2607.03663v3 Announce Type: replace-cross Abstract: The accurate estimation of Above-Ground Biomass (AGB) in mature tropical forests remains a critical challenge in remote sensing, primarily due to the saturation of Synthetic Aperture Radar (SAR) signals in high-density areas and persisten...
Source: arXiv - AI | 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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