WhatsApp Is Walking a Tightrope Between AI Features and Privacy

WhatsApp's AI tools will use a new “Private Processing” system designed to allow cloud access without letting Meta or anyone else see end-to-end encrypted chats. But experts still see risks...

What privacy? Perplexity wants your data, builds browser to track you and serve ads

AI search service Perplexity AI doesn't just want you using its app—it wants to take over your web browsing experience too. The company is planning to launch its own browser, called Comet, next month. But what does this mean for your privacy? Launched in 2022, Perplexity AI is an AI-powered searc...

What privacy? Perplexity wants your data, builds browser to track you and serve ads

AI search service Perplexity AI doesn't just want you using its app—it wants to take over your web browsing experience too. The company is planning to launch its own browser, called Comet, next month. But what does this mean for your privacy? Launched in 2022, Perplexity AI is an AI-powered searc...

Did:Self a Registry-Less DID Method

We introduce did:self, a Decentralized Identifier DID method that does not depend on any trusted registry for storing the corresponding DID documents. Information for authenticating a did:self subject can be disseminated using any means and without making any security assumption about the deliver...

SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective

In software development, privacy preservation has become essential with the rise of privacy concerns and regulations such as GDPR and CCPA. While several tools, guidelines, methods, methodologies, and frameworks have been proposed to support developers embedding privacy into software applications...

Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud

This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and during newborn resuscitation, with the aim of improving newborn care. The proposed architecture addresses the crucial issues of patient consent, data...

Federated One-Shot Learning with Data Privacy and Objective-Hiding

Privacy in federated learning is crucial, encompassing two key aspects: safeguarding the privacy of clients' data and maintaining the privacy of the federator's objective from the clients. While the first aspect has been extensively studied, the second has received much less attention. We present...

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models

Parameter-efficient fine-tuning PEFT has emerged as a practical solution for adapting large language models LLMs to custom datasets with significantly reduced computational cost. When carrying out PEFT under collaborative learning scenarios e.g., federated learning, it is often required to exchan...

Bipartite Randomized Response Mechanism for Local Differential Privacy

With the increasing importance of data privacy, Local Differential Privacy LDP has recently become a strong measure of privacy for protecting each user's privacy from data analysts without relying on a trusted third party. In many cases, both data providers and data analysts hope to maximize the...

DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes

Smart homes represent intelligent environments where interconnected devices gather information, enhancing users living experiences by ensuring comfort, safety, and efficient energy management. To enhance the quality of life, companies in the smart device industry collect user data, including...

Windscribe Acquitted on Charges of Not Collecting Users’ Data

The company doesn't keep logs, so couldn't turn over data: Windscribe, a globally used privacy-first VPN service, announced today that its founder, Yegor Sak, has been fully acquitted by a court in Athens, Greece, following a two-year legal battle in which Sak was personally charged in connection...

CVE-2025-43854

DIFY is an open-source LLM app development platform. Prior to version 1.3.0, a clickjacking vulnerability was found in the default setup of the DIFY application, allowing malicious actors to trick users into clicking on elements of the web page without their knowledge or consent. This can lead to...

CVE-2025-43854 DIFY vulnerable to Clickjacking Attack

DIFY is an open-source LLM app development platform. Prior to version 1.3.0, a clickjacking vulnerability was found in the default setup of the DIFY application, allowing malicious actors to trick users into clicking on elements of the web page without their knowledge or consent. This can lead to...

Court Dismisses Criminal Charges Against VPN Executive, Affirms No-Log Policy

Toronto, Canada, 28th April 2025, CyberNewsWire...

A week in security (April 21 – April 27)

Last week on Malwarebytes Labs: AI is getting "creepy good" at geo-guessing Zoom attack tricks victims into allowing remote access to install malware and steal money Android malware turns phones into malicious tap-to-pay machines 4.7 million customers’ data accidentally leaked to Google by Blue...

PT-2025-18093 · Dify · Dify

Name of the Vulnerable Software and Affected Versions: DIFY versions prior to 1.3.0 Description: A clickjacking issue was found in the default setup of the DIFY application, allowing malicious actors to trick users into clicking on elements of the web page without their knowledge or consent. This...

SA2FE: a Secure, Anonymous, Auditable, and Fair Edge Computing Service Offloading Framework

The inclusion of pervasive computing devices in a democratized edge computing ecosystem can significantly expand the capability and coverage of near-end computing for large-scale applications. However, offloading user tasks to heterogeneous and decentralized edge devices comes with the dual risk ...

Metadata-Private Messaging without Coordination

For those seeking end-to-end private communication free from pervasive metadata tracking and censorship, the Tor network has been the de-facto choice in practice, despite its susceptibility to traffic analysis attacks. Recently, numerous metadata-private messaging proposals have emerged with the...

Hybrid Privacy Policy-Code Consistency Check Using Knowledge Graphs and LLMs

The increasing concern in user privacy misuse has accelerated research into checking consistencies between smartphone apps' declared privacy policies and their actual behaviors. Recent advances in Large Language Models LLMs have introduced promising techniques for semantic comparison, but these...

SoK: a Survey of Mixing Techniques and Mixers for Cryptocurrencies

Blockchain technologies have overturned the digital finance industry by introducing a decentralized pseudonymous means of monetary transfer. The pseudonymous nature introduced privacy concerns, enabling various deanonymization techniques, which in turn spurred development of stronger...