🔬 Research Summary by Dominik Hintersdorf & Lukas Struppek. Dominik & Lukas are both Ph.D. students at the Technical University of Darmstadt, researching the security and privacy of deep learning … [Read more...] about Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Privacy
Distributed Governance: a Principal-Agent Approach to Data Governance – Part 1 Background & Core Definitions
🔬 Research Summary by Dr. Philippe Page, trained as a theoretical physicist developed a career in international banking before focusing energy on the next generation of internet as a Trustee of the Human Colossus … [Read more...] about Distributed Governance: a Principal-Agent Approach to Data Governance – Part 1 Background & Core Definitions
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
🔬 Research Summary by Lauren Arthur, Marketing Director at Hazy, a leading synthetic data company. [Original paper by Georgi Ganev, Jason Costello, Jonathan Hardy, Will O’Brien, James Rea, Gareth Rees, and Lauren … [Read more...] about On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
🔬 Research Summary by Anna Leschanowsky, a research associate at Fraunhofer IIS in Germany working at the intersection of voice technology, human-machine interaction and privacy. [Original paper by Casandra … [Read more...] about Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
A Systematic Review of Ethical Concerns with Voice Assistants
🔬 Research Summary by William Seymour, a lecturer in computer science at King’s College London, specializing in AI privacy, security, and ethics. [Original paper by William Seymour, Xiao Zhan, Mark Coté, and Jose … [Read more...] about A Systematic Review of Ethical Concerns with Voice Assistants