
Explore biometric system vulnerabilities in smart vehicles, including facial recognition and voice-print identification. Learn practical attack methods to bypass security measures and understand potential risks.

Explore vulnerabilities in machine learning systems for speech, text, and face recognition, uncovering potential security risks and attack vectors in AI technologies.

Explore biometric security challenges, spoof attack detection, and best practices for implementing secure, privacy-respecting biometric systems with expert Dr. Stephanie Schuckers.

Explore hacking techniques for machine learning systems in speech, text, and facial recognition, including exploits, backdoors, and adversarial attacks. Live demo included.

Einblick in die systematische Nutzung moderner Überwachungstechnologien zur Unterdrückung politischer Bewegungen in Belarus unter dem autoritären Regime von Alexander Lukaschenko.

Explores racial categorization in computer vision, examining usage, consistency, and implications for fairness in AI systems. Highlights challenges and potential biases in facial recognition technology.

Explores stealthy attacks on face recognition systems using adversarial machine learning techniques, demonstrating vulnerabilities in state-of-the-art facial recognition technology through impersonation experiments.

Explore Azure Cognitive Services containers for on-premise AI, with demos of local Face and Text services. Learn to configure and implement edge AI solutions.

Explore CNN-based methods for detecting manipulated facial images, including Deepfakes and face merging. Learn effective techniques using low-level and high-level features for automatic detection of facial manipulation.

Explore Intel RealSense for IoT projects: gesture control, voice recognition, and face detection. Enhance user experiences in home automation, robotics, and security using Raspberry Pi, Galileo, and Edison.

Explore vulnerabilities in mobile face recognition systems, focusing on non-deepfake attacks that bypass liveness detection. Learn about security flaws in popular SDKs and their implications for critical applications.

Explore AI applications in the cloud, including object detection, face recognition, translation, and speech. Learn to build Cognitive Search apps for deep content understanding in images and text.

Exploring AR's potential beyond visual impairment, from enhanced memory to emotional tracking, and its impact on everyday information consumption and human interaction.

Explore alternatives to "if-else" logic for clearer, more intuitive code. Learn techniques to reduce complexity and improve readability in programming.

Explore the rapid advancements in social and humanoid robotics, focusing on key drivers like voice and face recognition that are revolutionizing human-machine interactions and user experiences.

Learn to implement face recognition using OpenCV and Python. Covers model training, face detection in images, and practical demonstrations with a webcam.

Explore face spoofing detection methods from foundational approaches to modern implementations, covering theoretical frameworks and practical applications in security and authentication systems.

Explore modern IT solutions for connected vehicles, including real-time Linux, OTA updates, and open-source best practices for automotive safety and innovation.

Explore AI-powered Deepfakes: technology, applications, ethics, and future. Learn about face detection, alignment, recognition, and image reconstruction using Python, Keras, and TensorFlow.

Explore advances in representation and metric learning for face and speaker biometric systems, enhancing accuracy and efficiency in identity verification.

Explore using pgvector and PostgreSQL to automate finding photos of yourself at events. Learn to extract faces, calculate embeddings, and query image data efficiently.