Lectures related to Information sensitivity

De-anonymization: The Risks of Anonymized Data

Discusses the risks of sharing supposedly anonymous data and the techniques to protect sensitive information.

Explores data privacy challenges and perspectives in eHealth research, focusing on GDPR compliance, sensitive health data management, and decentralized agents.

Data Privacy: Anonymization and Protection

Discusses choosing relevant capsules and data privacy techniques.

Introduction to Cryptography

Explores cryptography techniques to keep information confidential and the importance of structuring data.

Adversarial Thinking: Common Weaknesses Enumeration

Explores adversarial thinking, common weaknesses, and ineffective defenses in software systems, emphasizing the importance of mitigating prevalent vulnerabilities.

Security Best Practices: Authentication and Good Conduct

Discusses security best practices, such as creating secure passwords and protecting personal networks.

Abusive Data Collection: Risks and Protections

Explores risks of abusive data collection, protections like Differential Privacy, Hashing, and Encryption, and techniques for data protection.

Privacy-Preserving Federated Analytics for Personalized Medicine

Delves into privacy-preserving federated analytics for personalized medicine, discussing challenges, solutions, and real-world applications.

Specific Contracts: Mandate, Confidentiality, Joint Ventures

Explores mandate contracts, confidentiality agreements, and joint ventures in business.

Privacy-preserving data publishing: Challenges and Solutions

Explores challenges in privacy-preserving data publishing, including failed de-identification examples and privacy threats, and presents a case study on Airbnb's efforts to address racist practices while protecting user privacy.

Privacy-preserving data publishing: Synthetic Data Generation

Explores synthetic data generation for privacy-preserving data publishing, evaluating its effectiveness against privacy threats in raw datasets.

Personal Devices: Security and Privacy

Explores security and privacy issues in personal electronic devices, emphasizing the importance of safeguarding Personally Identifiable Information.

Ethical Considerations in Natural Language Processing

Explores ethical challenges in NLP systems, including biases, toxicity, privacy, and disinformation.

Privacy: Why is privacy important

Explores the importance of privacy in democratic societies and the shared security infrastructure across individuals, industry, and governments.

Privacy-preserving Data Publishing: Part II

Explores privacy-preserving data publishing mechanisms, including k-anonymity and differential privacy, and their practical applications and challenges.

Introduction to Cryptography: One-Time Pad and Public-Key Systems

Introduces cryptography, focusing on the one-time pad and public-key systems, emphasizing privacy and authenticity in information security.

Privacy Technologies: End-to-End Encryption and Metadata Protection

Explores end-to-end encryption, metadata sensitivity, and the role of traffic analysis in intelligence gathering.

Capital Asset Pricing Model

Delves into the Capital Asset Pricing Model, market portfolio, Security Market Line, betas estimation, and liquidity risk.

Public Key Cryptography

Explores public key cryptography, enabling secure communication and key exchange between Alice and Bob.