Topics of Interest - An Attacker's View on APAC's 2021 Three Major Breaches
Explore an attacker's perspective on APAC's major 2021 breaches, analyzing causes and prevention strategies for enhanced cybersecurity awareness.
Using the TPM NVRAM to Protect Secure Boot Keys in POWER9 OpenPOWER Systems
Explore TPM NVRAM's role in safeguarding secure boot keys for POWER9 OpenPOWER systems, covering design and implementation aspects in firmware and Linux kernel layers.
Spectre, Meltdown, & Linux
Explore Meltdown and Spectre security issues, their impact on Linux, and learn how the kernel community addressed these vulnerabilities to ensure system protection.
Introduction to Reverse Engineering
Explore techniques used by crackers to bypass security, access firmware, and find vulnerabilities in hardware and software. Learn to protect your products from reverse engineering.
Intelligent Internet of Things - Start Analyzing Your Global Device Data for Real-Time
Explore Google Cloud IoT's capabilities for managing global devices, extracting real-time insights, and leveraging AI and machine learning for enhanced IoT data analysis and decision-making.
Cilium - Container Security and Networking Using BPF and XDP
Explore Cilium's innovative use of BPF for container networking and security, covering performance, DDoS mitigation, and microservices protection in cloud-native environments.
Live Security Hack - Hack My Mis-configured Kubernetes
Hands-on demonstration of exploiting Kubernetes vulnerabilities, showcasing attack progression and providing preventive measures for enhanced cluster security.
Trusted Execution Environments - A Technical Overview of Intel SGX, Arm TrustZone, and RISC-V PMP
Explore key trusted execution environments: Intel SGX, Arm TrustZone, and RISC-V PMP. Learn their architectures, security features, and implementation processes for robust data protection.
Firewalls with NFtables
Comprehensive guide to implementing network security using NFtables, covering packet filtering, stateful firewalls, and practical rule configuration for effective protection against cyber threats.
Translation Tutorial - Data Externalities
Explore data externalities through case studies, examining privacy values, excessive sharing, low reimbursements, and data substitutability. Discuss collective bargaining as a potential solution.
Algorithms, Accountability and Journalism
Explore algorithmic accountability in journalism with Julia Angwin. Discover The Markup's innovative approaches to privacy, data analysis, and investigative reporting on tech companies and societal impacts.
Gender - What the GDPR Does Not Tell Us - But Maybe You Can
Explore gender's complex relationship with privacy, data protection, and AI through feminist perspectives and GDPR analysis. Uncover blind spots in current regulations and technologies.
Systems and Measurement
Exploring online A/B testing, data sharing ethics, fairness in programming, and model performance reporting. Insights into cutting-edge research on responsible AI and data science practices.
Meaningful Information and the Right to Explanation
Explore the right to explanation in automated decision-making, focusing on GDPR's Article 22 and its implications for AI systems and data protection regulations.
Can You Fake It Until You Make It? - Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness
Explore the impact of differentially private synthetic data on classification fairness, examining its potential for preserving privacy while maintaining data utility in machine learning.
Chasing Your Long Tails - Differentially Private Prediction in Health Care Settings
Explore differential privacy in healthcare ML, addressing unique challenges, extreme tradeoffs, and fairness considerations for underrepresented groups in medical datasets.
Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies
Explore a framework for empowering the public's relationship with tech companies through data leverage, examining concepts like data levers, laundering, and conscious contribution.
Can You Fake It Until You Make It? - Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness
Explore the effects of differentially private synthetic data on classification fairness, examining its potential and limitations in machine learning applications.
Leakage Resilient Secret Sharing Against Colluding Parties
Explore leakage-resilient secret sharing techniques against colluding parties, discussing bounded collusion protocols, communication complexity, and non-malleable secret sharing.
Approximating Constraint Satisfaction Problems on High Dimensional Expanders
Explore high-dimensional expanders and their role in approximating constraint satisfaction problems, with insights on natural collections and general expanders.
How to Use Heuristics for Differential Privacy
Learn about differential privacy heuristics, their properties, and applications in machine learning. Explore modular design, universal identification, and privacy analysis techniques.