Here's your daily roundup of the most relevant AI and ML news for July 10, 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 | 14 hours ago
Research & Papers
2. On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces
arXiv:2607.07375v1 Announce Type: cross Abstract: Adversarial vulnerability in deep neural networks (DNNs) has been studied from the perspectives of decision-boundary geometry, feature robustness, input-output Jacobians, and the instability of inverse problems. Here, we focus on the spectral str...
Source: arXiv - AI | 1 day ago
3. Robustness to Sparse Adversarial Corruption in Arbitrary Linear Measurements: Beyond Exact Recovery
arXiv:2510.24215v5 Announce Type: replace-cross Abstract: Recovery from linear measurements under sparse adversarial corruption is typically formulated as an exact-recovery problem: one seeks structural conditions on $\mathbf{A}$ (e.g., restricted isometry property) guaranteeing unique recovery ...
Source: arXiv - Machine Learning | 10 hours ago
4. Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
arXiv:2604.08763v2 Announce Type: replace-cross Abstract: We extend the Weak Adversarial Neural Pushforward Method to the Wigner transport equation governing the phase-space dynamics of quantum systems. The central contribution is a structural observation: integrating the nonlocal pseudo-differe...
Source: arXiv - Machine Learning | 10 hours ago
5. ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning
arXiv:2607.07719v1 Announce Type: new 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 pre...
Source: arXiv - Machine Learning | 10 hours ago
6. MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing
arXiv:2607.08197v1 Announce Type: cross Abstract: In cloud computing, the public cloud service providers (CSPs) can provide cloud storage as the primary service while providing additional machine learning (ML)-based services by using the clients' data in storage. This business model extends the ...
Source: arXiv - Machine Learning | 10 hours ago
7. NonTextual Target Attack
arXiv:2510.02999v5 Announce Type: replace-cross Abstract: Existing gradient-based jailbreak attacks on Large Language Models (LLMs) typically optimize adversarial suffixes to align the LLM output with predefined target responses. However, restricting the objective as inducing fixed targets inher...
Source: arXiv - AI | 1 day ago
8. When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
arXiv:2606.03238v2 Announce Type: replace 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, uncertainty-p...
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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