Lectures related to Privacy in Data Analysis

Systems for Health, Security, Energy and the Environment

Covers the Swiss Research Program on Engineering Multi-Scale Systems for Health, Security, Energy, and the Environment.

Socially-aware Artificial Intelligence for Last-mile Mobility

Explores socially-aware AI for last-mile mobility, focusing on understanding social etiquettes, anticipating behaviors, and forecasting crowd movements.

Decentralized ML: Collaborative Training & Causal Influence Structure

Explores collaborative training in decentralized ML and causal influence structure discovery.

Engineering the Future: Systems for Health, Security, Energy

Covers the engineering of systems for health, security, energy, and the environment.

Differentiable Ranking and Sorting

Explores differentiable ranking and sorting techniques for machine learning applications.

Engineering Multi-Scale Systems

Introduces the Swiss Research Program focused on engineering multi-scale systems for health, security, energy, and the environment.

Systems of Linear Equations and Matrices MOOC: Warm-up for EPFL MOOC: Learning to study science and engineering MOOC: Linear Algebra (Part 1)

Covers the definition and solution of linear equations with real coefficients in 2D and 3D space.

Privacy Technologies and Data Protection

Explores privacy technologies, data protection, surveillance risks, and Privacy Enhancing Technologies for social and institutional privacy.

Gradient-Based Algorithms in High-Dimensional Learning

Provides insights on gradient-based algorithms, deep learning mysteries, and the challenges of non-convex problems.

Privacy: Threat Modeling and Differential Privacy

Explores the significance of privacy, risks of targeted advertising, and the concept of differential privacy.

Engineering the Future: Nano-Tera

Explores the Swiss Research Program Nano-Tera and its impact on engineering multi-scale systems for health, security, energy, and the environment.

Trust and Privacy

Explores trust, privacy, visual protection, social media models, and blockchain technology.

Data-Driven Modeling of Haemodynamics in Vascular Flows

Explores data-driven modeling of haemodynamics in vascular flows, focusing on computational challenges, reduced order modeling, FSI problems, and neural network applications.

Désanonymisation: Risks and Techniques

Explores risks and techniques in de-anonymizing data, including flaws in methods and real-world examples of failed attempts.

Mechanics: Equilibrium and Forces

Covers equilibrium, forces, couple concept, moments, tensions, and friction effects in mechanics.

EPFL Computer Science Overview

Covers EPFL's Computer Science School, faculty expertise, EDIC program requirements, and post-PhD career paths.

Privacy technologies and data protection

Explores privacy importance, PETS, anti-surveillance technologies, and the SwissCovid case study.

Safe Machine Learning: Cryptographic Opportunities Log in to Mediaspace to watch this video

Explores the intersection between machine learning and cryptography, focusing on safe machine learning through cryptographic tools and models.

Privacy Engineering: Principles and Strategies Log in to Mediaspace to watch this video

Covers the principles and strategies of privacy engineering, emphasizing the importance of embedding privacy into IT systems and the challenges faced in achieving privacy by design.

Distributed Transactions: Consistency Spectrum Log in to Mediaspace to watch this video

Explores the spectrum of consistency in distributed transactions, from strong to eventual consistency, and the trade-offs involved.