Strange Interactions in Personal Data - Brokers and the CFAA
Explore the complex interplay between data brokers, personal information, and the Computer Fraud and Abuse Act in this insightful analysis of privacy and legal challenges.
Cyber - Privacy in the 21st Century
Explore the privacy risks of modern technology and IoT devices with IT law expert Jakub Klodwig. Learn about the implications of our increasing reliance on electronics and data collection in everyday life.
Supporting Confidential Computing across Europe's Cloud-Edge Continuum
Explore confidential computing implementation across Europe's cloud-edge continuum, focusing on security and data protection in distributed environments.
Open Platform for Enterprise AI
Explore an open platform for enterprise AI, focusing on confidential computing and its applications in business environments.
How ML, NLP, and 5 Minutes of Playtime Help Parents, Caregivers, and Children Enjoy Life Together
Discover how Happypillar uses ML, ASR, and NLP to provide personalized behavioral interventions for children, addressing mental health challenges through a digital therapeutic app.
Information Leakage of Neural Networks
Explore information extraction attacks on machine learning models, their potential to compromise sensitive data, and strategies for mitigation. Gain insights into legal aspects and privacy-security-utility tensions.
Towards Digital Autonomy - From Device to Cloud
Explore how open source initiatives like Oniro and Open Services Cloud are shaping digital autonomy, consumer choice, and data security in Europe's evolving technological landscape.
Does Your LLM Truly Unlearn? - A Simple Approach to Recover Unlearned Knowledge
Explore the effectiveness of LLM unlearning methods and discover how supposedly "forgotten" knowledge can be recovered through simple approaches in AI model training.
Federated Learning for Healthcare: Private and Personal Clinical Modeling
Explore federated learning's application in healthcare, focusing on training machine learning models across distributed clinical datasets without compromising sensitive data privacy and security.
Generative AI Tools - Understanding Risks and Limitations
Explore the critical challenges and ethical considerations of generative AI, from inherent biases and environmental impacts to responsible implementation strategies and human-centric approaches.
7 Common Computing Urban Myths Debunked
Debunk common misconceptions about computing technologies, from Windows and Google Docs to USB-C and RAID, with evidence-based explanations and expert insights.
Learning How to Ensure Data Separation in Customer Data Management
Discover essential strategies for maintaining data separation and preventing customer data mix-ups in multi-tenant environments, focusing on best practices and security measures.
Bio-Lock - The Future and Ethics Around DNA Cryptography
Explore the emerging field of DNA cryptography, its future implications, and ethical considerations in data security and biological encryption systems.
Crushing Crumbs of Information: Using OSINT to Build Complete Target Profiles
Discover how to leverage seemingly insignificant data leaks from public websites to build comprehensive OSINT profiles, with practical examples and tools demonstrated through Brazilian case studies.
How I Found Your Password and Other Advanced Data Hoarding Techniques
Discover advanced techniques for data breach research and legal frameworks while exploring DorXNG, a next-gen OSINT tool for ethical security testing and red team operations.
Cybersecurity Education: Making the Case for K-12 Privacy and Security Curriculum
Explore how to integrate essential cybersecurity and data privacy education into K-12 curricula, addressing the critical need for early digital safety awareness and institutional protection measures.
Differential Privacy Beyond Algorithm: Challenges for Deployment
Explore the practical challenges of implementing differential privacy systems, from explaining technical guarantees to non-experts to preventing misuse and integrating with existing security tools.
Attacks on GenAI Data and Using Vector Encryption for Protection
Explore cutting-edge vector encryption techniques and security measures to protect GenAI data from embedding inversion attacks while enabling privacy-preserving searches over encrypted vectors.
Securing OpenVSX and Theia IDE - Security and Privacy in Corporate Environments
Discover essential security strategies for deploying Theia-based IDEs internally, focusing on OpenVSX plugin management, data privacy, and protecting against potential security vulnerabilities.
Telco Data를 활용한 가명결합과 교통데이터 사업 소개
Discover SKT의 혁신적인 데이터 활용 방안과 가명결합 기술을 통한 교통 분석 서비스 및 텔레콤 데이터의 새로운 응용 사례를 통해 데이터 기반 비즈니스의 미래를 탐구합니다.
Anti-Money Laundering ML Modeling Approach in Banking
Discover how Raiffeisen Bank leverages machine learning to identify risky customers and prevent money laundering while maintaining data privacy in banking operations.