How We Take Back the Internet
Edward Snowden discusses surveillance, internet freedom, and data privacy, emphasizing the importance of protecting digital rights and rethinking internet laws for a more secure and free online environment.
How Are Companies Using Your Personal Data?
Experts discuss data privacy, corporate practices, and consumer rights in the digital age, exploring fair options and the roles of business and government in protecting personal information.
The Shadow Nemesis - Inference Attacks on Efficiently Deployable, Efficiently Searchable Encryption
Explore inference attacks on searchable encryption, focusing on Bloom filters and graph matching techniques to compromise data confidentiality in encrypted databases.
The Chinese Economy in the Next 30 Years - Political Reform vs. Status Quo
Experts discuss China's economic future, exploring political reform, global challenges, and domestic growth prospects in the next 30 years, considering various perspectives and potential strategies.
Big Tech Under the Spotlight - Privacy, Transparency, and Regulation
Explore the complex landscape of tech regulation, privacy concerns, and the societal impact of big tech companies in this thought-provoking panel discussion.
Big Tech and Antitrust - Rethinking Competition Policy for the Digital Era
Experts discuss antitrust challenges in the digital era, exploring economic impacts, monopoly concerns, data ownership, and potential regulatory approaches for Big Tech companies.
Social Media and the Social Contract - Which Comes First?
Experts discuss challenges facing social media companies, including disinformation, profitability, and ethical concerns, exploring solutions for a more responsible digital landscape.
Accelerating Security Innovation for Governments with the Intelligent Cloud
Explore Microsoft's innovative cloud solutions for government agencies, focusing on security, hybrid workspaces, and data privacy to enhance critical services for citizens.
How Microsoft Viva Insights Fosters Wellbeing and Productivity Across a Hybrid Work Culture
Explore how Microsoft Viva Insights uses data to foster wellbeing and productivity in hybrid work environments, empowering individuals, managers, and leaders to make informed decisions.
Hidden in the Algorithm
Explore the risks of algorithmic bias in digital decision-making and strategies for mitigating discrimination in AI-driven systems across various sectors.
Enabling Smart Devices to Act as Cloud Servers
Explore the transition to a hyper-connected world, discussing challenges, solutions, and the potential of hybrid edge cloud technology to create a more sustainable and open internet.
DevOpSec - Rapid Security in the AWS Cloud
Explore DevOpSec practices for rapid, secure AWS deployments. Learn collaborative strategies for development, operations, and security teams to achieve compliance in agile environments.
Securing the Genome - The Intersection of Genomics, Cloud and Big Data
Explore genomic data security in the cloud, addressing challenges, threats, and compliance for unlocking medical breakthroughs while protecting sensitive genetic information.
Protect Privacy in a Data-Driven World - Privacy-Preserving Machine Learning
Explore privacy-preserving machine learning techniques to harness AI's power while maintaining data confidentiality, with insights on federated learning, trusted execution environments, and homomorphic encryption.
Who Owns Your Digital Breadcrumbs?
Explore data privacy, ownership, and access in the digital age, examining current issues, legislation, and strategies to limit your digital footprint.
Running Away from Security - Web App Vulnerabilities and OSINT Collide
Explore web app vulnerabilities and OSINT techniques, focusing on fitness tracking apps and their potential security risks. Learn to protect your online presence and data.
Privacy Governance and Explainability in ML - AI
Explore privacy governance in ML/AI, addressing GDPR compliance, explainability challenges, bias identification, and strategies for enhancing consumer trust in complex data-driven decision-making processes.
Building Secure Systems in Haskell
Explore building secure web applications using Haskell's LIO and Hails framework, focusing on data privacy protection through language-level information flow control and declarative policy specification.
How to Build with Data Trust and Privacy as a Baseline
Explore tactical approaches for data stewardship, privacy, and trust in software development, including differential privacy techniques, in the face of growing regulations.
Federated Learning - Private Distributed ML
Explore federated learning for private, distributed machine learning across devices or entities, addressing data sharing constraints while enabling collaborative model training.
The Metadata is the Message
Explore the complex relationship between metadata and content in digital communications, examining legal implications and technical intricacies of internet architecture and data collection.