Real-Time Video and Audio Deep Fake Impersonation - A Security Demonstration
Explore real-time deepfake technology and its potential security risks through practical demonstrations of CEO impersonation using open-source tools and accessible hardware.
Attacks on GenAI Data and Using Vector Encryption for Protection
Explore cutting-edge vector encryption techniques and security measures to protect GenAI data from embedding inversion attacks while enabling privacy-preserving searches over encrypted vectors.
3D Printing Medical Devices at Point of Care - AI and Healthcare Integration
Explore the intersection of 3D printing, AI, and healthcare through FDA's medical device production systems, examining stakeholder perspectives and point-of-care implementation challenges.
Exploiting Voice Cloning in Adversarial Simulation - Security Testing and Defense Strategies
Explore the security vulnerabilities of voice verification systems through deep learning voice cloning techniques, including practical demonstrations, risk assessment, and defensive countermeasures.
Lessons Learned from Building and Defending LLM Applications
Gain insights into real-world challenges and practical strategies for developing secure LLM applications, exploring vulnerabilities, defense mechanisms, and best practices for robust AI systems.
SUMO Simulations for Privacy-Preserving Federated Learning in Autonomous Vehicles
Explore privacy-preserving federated learning techniques for autonomous vehicles using SUMO simulations, focusing on balancing data protection and predictive model performance.
The Evolution of IDEs and the Impact of Generative AI on Developer Tools
Explore the evolution of IDEs, from their origins to the transformative impact of Gen AI on development workflows, while envisioning future innovations in software development tools.
Scalable and Portable Federated Learning Simulation Engine
Discover a powerful simulation engine for federated learning that enables privacy-focused data analysis, offering scalable and hardware-independent implementation for research and production environments.
Sumonity - Bridging SUMO and Unity for Enhanced Traffic Simulation Experiences
Discover how to integrate SUMO and Unity platforms to create realistic traffic simulations, implementing pure pursuit control for enhanced vehicle behavior and improved simulation fidelity.
Calibration of Microscopic Traffic Simulation in Urban Environments Using GPS Data
Discover how to calibrate microscopic traffic simulations using GPS data through a two-step optimization process, combining integer linear programming with evolutionary algorithms for accurate urban traffic modeling.
Eclipse SDV Blueprints - Introduction to Software Defined Vehicle Solutions
Discover how Eclipse SDV Blueprints brings software-defined vehicle concepts to life through practical implementations, featuring data sharing, autonomous racing, and fleet management solutions.
Optimized Design of Low Emission Zones in SUMO - A Dual Focus on Emissions Reduction and Travel Time Improvement
Discover how genetic algorithms and SUMO simulation optimize Low Emission Zones (LEZ) design to reduce urban CO2 emissions while improving traffic flow and travel times in cities.
Methodology for Forecasting Election Results from Tweets
Discover advanced techniques for analyzing social media data to predict election outcomes using computational methods and Twitter sentiment analysis.
AI and Computational Politics - Symposium 2023
Explore the intersection of AI and political systems, examining computational propaganda, equity implications, and methodological approaches for analyzing modern political landscapes.
Political Barometer: Public Opinion Mining Using Tweets
Explore advanced techniques for mining public opinion from Twitter data to analyze political sentiment and create accurate political barometers in the digital age.
Introduction to the Perceptron Algorithm - Lecture 8
Dive into the fundamental concepts of the Perceptron algorithm, exploring its core mechanisms and applications in neural network foundations.
Discriminative and Generative Models in Machine Learning - Lecture 24B
Explore the key distinctions between discriminative and generative models in machine learning, focusing on their unique approaches and practical applications.
Generative and Discriminative Models in Machine Learning - Lecture 27B
Explore the fundamental differences between generative and discriminative models in machine learning through a concise high-level introduction to these essential modeling approaches.
내가 왕이 될 콘텐츠인가 - 콘텐츠 흥행 예측과 AI 기반 분석
Discover how SK Broadband combines AI with domain expertise to predict content success, minimizing investment risks through objective metrics and machine learning models for entertainment content performance forecasting.
Medical Insight+ - AI Medical Device for Rapid and Accurate Diagnosis of Emergency and Severe Brain Diseases
Discover how Medical Insight+ AI medical device revolutionizes emergency brain disease diagnosis through rapid CT image analysis, supporting healthcare professionals across Korean hospitals for accurate patient care.
AI-Based High-Quality 3D Conversion Technology Using Neural Radiance Fields
Explore cutting-edge Neural Radiance Fields (NeRF) technology and its applications in high-quality 3D conversion through research insights from Chung-Ang University graduate researchers.