#privacy News & Analysis

Privacy-Aware Agent Collaboration for Dynamic VR Slice Management in 6G SD-RAN

Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents

How to Opt Out of Google Search’s New AI Data Training Feature

Google has updated its Search history feature to store media uploads—including images from reverse image searches—for training its AI models. Users can now opt out of this data collection, raising questions about consent and data privacy in AI development pipelines.

Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce

Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey

Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity

A Survey on Federated Causal Discovery and Inference

The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences

Google Home will soon get better at recognizing you

Google Home is enhancing its facial recognition capabilities starting June 23rd, enabling its Familiar Faces feature to identify people even when their faces aren't clearly visible by using non-biometric signals like body size and clothing color. The update also introduces automatic library refreshes to reduce false notifications from outdated images.

Why More Crypto Users Are Returning to Instant No-KYC Swaps

Cryptocurrency users are increasingly gravitating toward instant, no-KYC (Know Your Customer) swap solutions as a reaction against the industry's progressive shift toward stringent identity verification and regulatory compliance. This trend reflects a fundamental tension between regulatory pressure and the original appeal of crypto—frictionless, permissionless value transfer.

A New OpenClaw Competitor: ToqanClaw Promises Privacy in AI Agent Race

Prosus has launched ToqanClaw, a no-code AI platform designed as a European alternative to OpenClaw and other AI agents. The platform emphasizes privacy-first features, positioning itself to capture demand from European users concerned about data sovereignty and regulatory compliance.

Privacy to Solana (SOL)? How Can It Make the Network Better?

The article discusses how Solana's current market position could be strengthened through the implementation of privacy features on the network. Privacy enhancements are presented as a potential solution to address challenges facing Solana's adoption and competitive positioning.

Vitalik Buterin challenges AI to unmask his anonymous Ethereum work

Vitalik Buterin issued a challenge to AI systems to identify an Ethereum document he authored anonymously, highlighting vulnerabilities in online privacy and demonstrating how AI writing analysis tools could potentially de-anonymize technical contributors. The experiment underscores emerging risks around authorship attribution and digital privacy in an increasingly AI-analyzed world.

'Find My Secret Document': Ethereum Co-Founder Buterin Puts AI to Test

Vitalik Buterin, Ethereum's co-founder, is conducting an experiment to test the boundaries of artificial intelligence capabilities and online privacy by challenging AI systems to locate a hidden document. This initiative explores both the potential and limitations of current AI technology in accessing information and raises important questions about privacy, security, and AI reliability.

Nostr is the Orange Web: Bitcoin’s Niche and Futuristic Alternative Internet

Nostr, a Bitcoin-integrated protocol created in 2020, enables users to maintain ownership of their followers, content, and data across decentralized applications. The protocol has gained traction among high-profile figures like Edward Snowden and Jack Dorsey, positioning itself as a censorship-resistant alternative to centralized social platforms.

Bitcoin developers want to fix the 'replace this transaction with a higher fee' button. Here's why

Bitcoin developers are working to remove the Replace-By-Fee (RBF) feature that allows users to speed up transactions by paying higher fees. The feature has become a privacy liability, creating a identifiable fingerprint for blockchain surveillance despite its original utility purpose.

Ripple Co-Founder Chris Larsen Listed on Secretive Thiel-Linked Dialog Network, Raising Privacy Questions

Researcher Dave Troy identified Ripple co-founder Chris Larsen on a leaked membership list for Peter Thiel's private Dialog network, a secretive organization that raises questions about privacy practices and the interconnectedness of tech and finance elites. The discovery highlights tensions between transparency and confidentiality within exclusive networks that influence major business decisions.

UK government plans social media ban for under-16s, sparking debate over enforcement and privacy

The UK government is considering a social media ban for users under 16, a move that could reshape digital access for young people. Critics worry the policy may drive minors toward less regulated platforms, potentially creating new safety and privacy risks rather than mitigating existing ones.

Ripple’s ‘pro-privacy’ Larsen on surveillance mogul Thiel’s Dialog list

Ripple co-founder Chris Larsen, who has positioned himself as a privacy advocate, has been revealed to be part of Peter Thiel's exclusive Dialog society—an invitation-only network led by a figure known for surveillance interests. The revelation highlights a potential contradiction between Larsen's public privacy stance and his association with Thiel's inner circle.

Google fought US warrant for user data on Capitol riot searches

Google challenged a US government warrant seeking user search data related to Capitol riot investigations, highlighting the tension between law enforcement access and corporate privacy protections. The case underscores broader regulatory debates affecting how tech companies handle user information and government requests.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI

Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning