1659 matches found
Meta sent cease and desist letter over AI training
EU privacy advocacy group NOYB has clapped back at Meta over its plans to start training its AI model on European users' data. In a cease and desist letter to the social networking giant's Irish operation signed by founder Max Schrems, the non-profit demanded that it justify its actions or risk...
GenoArmory: a Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
We propose the first unified adversarial attack benchmark for Genomic Foundation Models GFMs, named GenoArmory. Unlike existing GFM benchmarks, GenoArmory offers the first comprehensive evaluation framework to systematically assess the vulnerability of GFMs to adversarial attacks. Methodologicall...
Noyb Threatens Meta with Lawsuit for Violating GDPR to Train AI on E.U. User Data From May 27
Austrian privacy non-profit noyb none of your business has sent Meta's Irish headquarters a cease-and-desist letter, threatening the company with a class action lawsuit if it proceeds with its plans to train users' data for training its artificial intelligence AI models without an explicit opt-in...
Securing the Code: Building a Culture of Credential Protection in Dev Teams
Credential protection is key to preventing breaches. Secure APIs, rotate secrets and train devs to handle credentials safely…...
On Technique Identification and Threat-Actor Attribution Using LLMs and Embedding Models
Attribution of cyber-attacks remains a complex but critical challenge for cyber defenders. Currently, manual extraction of behavioral indicators from dense forensic documentation causes significant attribution delays, especially following major incidents at the international scale. This research...
AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs
Corporate LLMs are gaining traction for efficient knowledge dissemination and management within organizations. However, as current LLMs are vulnerable to leaking sensitive information, it has proven difficult to apply them in settings where strict access control is necessary. To this end, we desi...
Learning How to Hack: Why Offensive Security Training Benefits Your Entire Security Team
Organizations across industries are experiencing significant escalations in cyberattacks, particularly targeting critical infrastructure providers and cloud-based enterprises. Verizon's recently released 2025 Data Breach Investigations Report found an 18% YoY increase in confirmed breaches, with...
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Federated learning FL presents an effective solution for collaborative model training while maintaining data privacy across decentralized client datasets. However, data quality issues such as noisy labels, missing classes, and imbalanced distributions significantly challenge its effectiveness. Th...
Private LoRA Fine-Tuning of Open-Source LLMs with Homomorphic Encryption
Preserving data confidentiality during the fine-tuning of open-source Large Language Models LLMs is crucial for sensitive applications. This work introduces an interactive protocol adapting the Low-Rank Adaptation LoRA technique for private fine-tuning. Homomorphic Encryption HE protects the...
Optimizing Mouse Dynamics for User Authentication by Machine Learning: Addressing Data Sufficiency, Accuracy-Practicality Trade-Off, and Model Performance Challenges
User authentication is essential to ensure secure access to computer systems, yet traditional methods face limitations in usability, cost, and security. Mouse dynamics authentication, based on the analysis of users' natural interaction behaviors with mouse devices, offers a cost-effective,...
SUSE CVE-2025-37870
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
Privacy-Aware Berrut Approximated Coded Computing Applied to General Distributed Learning
Coded computing is one of the techniques that can be used for privacy protection in Federated Learning. However, most of the constructions used for coded computing work only under the assumption that the computations involved are exact, generally restricted to special classes of functions, and...
CVE-2025-37870
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
AZL-62589 CVE-2025-37870 affecting package kernel 6.6.150.1-1
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
DEBIAN-CVE-2025-37870
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
UBUNTU-CVE-2025-37870
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
CVE-2025-37870 drm/amd/display: prevent hang on link training fail
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
CVE-2025-37870 drm/amd/display: prevent hang on link training fail
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
CVE-2025-37870
In the Linux kernel, the following vulnerability has been resolved: drm/amd/display: prevent hang on link training fail Why When link training fails, the phy clock will be disabled. However, in enablestreams, it is assumed that link training succeeded and the mux selects the phy clock, causing a...
