162 matches found
EUVD-2018-9165
Malware in sbrugna...
EUVD-2015-0458
Malware in sbrugna...
EUVD-2015-0456
Malware in sbrugna...
EUVD-2015-2726
Malware in sbrugna...
EUVD-2014-2454
Malware in sbrugna...
EUVD-2014-2451
Malware in sbrugna...
EUVD-2014-3092
Malware in sbrugna...
EUVD-2015-4775
Malware in sbrugna...
EUVD-2015-0457
Malware in sbrugna...
EUVD-2022-26838
Malicious code in bioql PyPI...
EUVD-2022-26836
Malicious code in bioql PyPI...
EUVD-2022-26837
Malicious code in bioql PyPI...
EUVD-2022-26839
Malicious code in bioql PyPI...
Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era
The Microsoft Fabric and Purview teams are thrilled to participate in the European Microsoft Fabric Community Conference September 15-18, 2025, in Vienna, Austria. This event is Microsoft’s largest tech conference in Europe, where data professionals gather to connect and share insights on data,...
Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era
The Microsoft Fabric and Purview teams are thrilled to participate in the European Microsoft Fabric Community Conference September 15-18, 2025, in Vienna, Austria. This event is Microsoft’s largest tech conference in Europe, where data professionals gather to connect and share insights on data,...
You Are What You Eat: Why Your AI Security Tools Are Only as Strong as the Data You Feed Them
Just as triathletes know that peak performance requires more than expensive gear, cybersecurity teams are discovering that AI success depends less on the tools they deploy and more on the data that powers them The junk food problem in cybersecurity Imagine a triathlete who spares no expense on...
LLM4MEA: Data-Free Model Extraction Attacks on Sequential Recommenders Via Large Language Models
Recent studies have demonstrated the vulnerability of sequential recommender systems to Model Extraction Attacks MEAs. MEAs collect responses from recommender systems to replicate their functionality, enabling unauthorized deployments and posing critical privacy and security risks. Black-box...
Organizational Adaptation to Generative AI in Cybersecurity: a Systematic Review
Cybersecurity organizations are adapting to GenAI integration through modified frameworks and hybrid operational processes, with success influenced by existing security maturity, regulatory requirements, and investments in human capital and infrastructure. This qualitative research employs...
QualitEye: Public and Privacy-Preserving Gaze Data Quality Verification
Gaze-based applications are increasingly advancing with the availability of large datasets but ensuring data quality presents a substantial challenge when collecting data at scale. It further requires different parties to collaborate, therefore, privacy concerns arise. We propose QualitEye--the...
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
Privacy-Preserving Federated Learning PPFL is a decentralized machine learning approach where multiple clients train a model collaboratively. PPFL preserves privacy and security of the client's data by not exchanging it. However, ensuring that data at each client is of high quality and ready for...