#privacy News & Analysis

Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning

Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity

Investigating In-Context Privacy Learning by Integrating User-Facing Privacy Tools into Conversational Agents

Promoting Critical Thinking With Domain-Specific Generative AI Provocations

Grayscale Predicts 18x Upside For Zcash If This Happens

A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation

Secure Linear Alignment of Large Language Models

PCOV-KWS: Multi-task Learning for Personalized Customizable Open Vocabulary Keyword Spotting

Quantifying Student Success with Generative AI: A Monte Carlo Simulation Informed by Systematic Review

Membership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based Paradigm

What Are Coin Mixers and How Do They Work?

ChatGPT’s ‘Adult Mode’ Could Spark a New Era of Intimate Surveillance

Zcash Is Crypto’s Most Mispriced Asset, Cypherpunk CIO Says

Democrats Press Meta Over Facial Recognition Plans for Smart Glasses

Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning

Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification

Evontree: Ontology Rule-Guided Self-Evolution of Large Language Models

ChangeNOW Launches Private Send to Break Blockchain Address Tracking

ChangeNOW has launched Private Send, a privacy feature integrated into NOW Wallet that prevents direct address tracking on public blockchains. The feature uses a toggle system to break the link between sender and recipient addresses during transactions.

Aster Chain Launch: Defining a New Era for Onchain Privacy and Transparency

Aster Chain has officially launched, positioning itself as a new blockchain platform focused on combining onchain privacy with transparency. The launch was announced from George Town, British Virgin Islands on March 17th, 2026, marking the platform's entry into the privacy-focused blockchain space.

FedUAF: Uncertainty-Aware Fusion with Reliability-Guided Aggregation for Multimodal Federated Sentiment Analysis

Researchers propose FedUAF, a new multimodal federated learning framework that addresses challenges in sentiment analysis by using uncertainty-aware fusion and reliability-guided aggregation. The system demonstrates superior performance on benchmark datasets CMU-MOSI and CMU-MOSEI, showing improved robustness against missing modalities and unreliable client updates in federated learning environments.

FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data

Researchers propose FedPBS, a new federated learning algorithm that addresses key challenges in distributed AI training including statistical heterogeneity and uneven client participation. The algorithm dynamically adapts batch sizes and applies proximal corrections to improve model convergence while preserving data privacy across distributed clients.