Here's your daily roundup of the most relevant AI and ML news for April 10, 2026. We're also covering 7 research developments. Click through to read the full articles from our curated sources.
Research & Papers
1. MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors
arXiv:2604.06846v1 Announce Type: cross Abstract: Interactive medical dialogue benchmarks have shown that LLM diagnostic accuracy degrades significantly when interacting with non-cooperative patients, yet existing approaches either apply adversarial behaviors without graded severity or case-spec...
Source: arXiv - AI | 10 hours ago
2. 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
3. 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
4. Physical Adversarial Attacks on AI Surveillance Systems:Detection, Tracking, and Visible--Infrared Evasion
arXiv:2604.06865v1 Announce Type: cross Abstract: Physical adversarial attacks are increasingly studied in settings that resemble deployed surveillance systems rather than isolated image benchmarks. In these settings, person detection, multi-object tracking, visible--infrared sensing, and the pr...
Source: arXiv - AI | 10 hours ago
5. 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
6. Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems
arXiv:2601.16074v2 Announce Type: replace Abstract: Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in in...
Source: arXiv - Machine Learning | 10 hours ago
7. Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
arXiv:2603.13970v2 Announce Type: replace Abstract: In High Energy Physics, as in many other fields of science, the application of machine learning techniques has been crucial in advancing our understanding of fundamental phenomena. Increasingly, deep learning models are applied to analyze both ...
Source: arXiv - Machine Learning | 10 hours ago
Tech & Development
8. Llama LLM Network Feture
Article URL: https://github.com/Jeffyjefchat/oracle-protocol Comments URL: https://news.ycombinator.com/item?id=47717093 Points: 1
Comments: 0
Source: Hacker News - AI | 1 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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