316 articles tagged with #privacy. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
VaultGemma represents a breakthrough in privacy-preserving AI technology as the world's most capable differentially private large language model. This development addresses growing concerns about data privacy in AI applications while maintaining high performance capabilities.
OpenAI is challenging a court order from The New York Times that would require indefinite retention of ChatGPT and API user data. The company is fighting the demands to protect user privacy while addressing legal requirements and maintaining data protection commitments.
The article provides a guide for running Large Language Models (LLMs) directly on mobile devices using React Native, enabling edge inference capabilities. This development represents a significant step toward decentralized AI processing, reducing reliance on cloud-based services and improving privacy and latency for mobile AI applications.
Meta has released Llama 3.2, introducing vision capabilities that allow the AI model to process and understand images alongside text. The update also enables the model to run locally on devices, providing enhanced privacy and offline functionality for users.
The article title suggests Apple has released Swift Transformers, a framework for running large language models locally on Apple devices. This would enable on-device AI inference without requiring cloud connectivity, potentially improving privacy and performance for iOS/macOS applications.
The article discusses the development of encrypted large language models using Fully Homomorphic Encryption (FHE) technology. This approach would allow AI models to process data while keeping it encrypted, potentially addressing privacy concerns in AI applications.
Ethereum R&D team and Zcash Company are collaborating on the Zcash on Ethereum (ZoE) research project, which aims to combine blockchain programmability with privacy features. This joint initiative explores integrating Zcash's privacy capabilities with Ethereum's smart contract functionality.
Researchers introduce PrivacyReasoner, an LLM-based agent architecture that reconstructs individual privacy perspectives from online comment history to predict how specific people would perceive data practices. The system outperforms baseline models in predicting privacy concerns across AI, e-commerce, and healthcare domains by contextually activating relevant privacy beliefs.
Apple, Qualcomm, and other tech companies are developing next-generation AI agents intentionally designed with built-in limitations rather than unrestricted capabilities. These agents can perform tasks like app navigation, bookings, and service management, but operate within controlled parameters that prioritize safety and user privacy over maximum autonomy.
Researchers propose a new framework for 'selective forgetting' in Large Reasoning Models (LRMs) that can remove sensitive information from AI training data while preserving general reasoning capabilities. The method uses retrieval-augmented generation to identify and replace problematic reasoning segments with benign placeholders, addressing privacy and copyright concerns in AI systems.
ETHGlobal Cannes 2026 announced 10 finalists featuring projects focused on AI agents, privacy infrastructure, and on-chain prediction markets. Notable projects include ENShell, DIVE, Corpus, and VEIL VPN, representing some of the most technically advanced submissions in ETHGlobal's history.
The Cardano community is criticizing the architecture of Midnight, Cardano's privacy-focused sidechain project. The criticism has prompted Cardano founder Charles Hoskinson to publicly respond and defend the project.
Researchers introduce VLM-UnBench, the first benchmark for evaluating training-free visual concept unlearning in Vision Language Models. The study reveals that realistic prompts fail to genuinely remove sensitive or copyrighted visual concepts, with meaningful suppression only occurring under oracle conditions that explicitly disclose target concepts.
