Topological Signal Processing and Learning
Explore advanced techniques in signal processing using topological methods, enhancing data analysis and learning algorithms for complex datasets.
Signal Processing on Graphs and Complexes
Explore advanced techniques for analyzing complex data structures using graph and simplicial complex-based signal processing methods.
Connecting the Dots - Leveraging GSP to Learn Graphs From Nodal Observations
Explore graph signal processing techniques to infer network structures from node data, enhancing understanding of complex systems and their interconnections.
Deep Learning for Computational Imaging - SPACE Webinar Series
Explore advanced signal processing techniques with Prof. Bihan Wen from NTU, focusing on cutting-edge research and applications in the field of signal and image processing.
Recognizing and Treating Outbreaks in a Data-Rich World
Insightful exploration of using data and modern tools to detect and prevent disease outbreaks before they become widespread, offering a proactive approach to global health challenges.
Deciphering Cancer's Code Through Computational Biology
Computational biology approach to decoding cancer growth and mutation patterns, offering innovative insights into understanding and combating the disease.
The Value of Tracking Patient Data
Discover how tracking patient data can revolutionize healthcare and empower individuals to take control of their health journey.
Malware Clustering - Static and Dynamic Behavior Analysis
Explore innovative malware clustering techniques using static and dynamic behavior analysis, machine learning, and similarity search for robust, scalable, and repeatable results.
Detection Is Not Enough - Attack Recovery for Safe and Robust Autonomous Robotic Vehicles
Explore novel frameworks for safe attack response in autonomous robotic vehicles, enabling mission continuation despite malicious interventions through feed-forward control and sensor isolation techniques.
Data as a Social Science: Cultural Elements in Privacy and Security
Explore cultural dimensions of privacy and security in global tech, unlocking innovation through understanding diverse perspectives on trust, timing, and data management.
Predicting Vulnerability Exploitation - How to Assess Cybersecurity Risks
Predicting vulnerability exploitation using data from 10 million hosts. Explores factors influencing hacker decisions and presents models to assess exploitation risk, aiding in cybersecurity and risk management.
Mobile App Privacy Analysis at Scale
Exploring privacy risks in mobile apps: automated analysis of 80,000+ Android apps reveals widespread tracking, data sharing, and potential regulatory violations. Discusses implications for developers, platforms, and regulators.
Modelling COVID-19 Vaccination and Immunity Panel Discussion
Expert panel explores COVID-19 vaccination strategies, immunity dynamics, and challenges in modeling the pandemic's long-term effects, offering insights for public health decision-making.
Do No Harm - Terminology, Assumptions, and Interpretation of Epidemic Models in Communities Most Affected
Exploring ethical considerations in epidemic modeling, focusing on terminology, assumptions, and interpretation to avoid stigmatization and promote equitable public health responses.
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound
Explore automatic COVID-19 diagnosis using crowdsourced respiratory sounds. Learn about data collection, symptom correlation, and detection techniques in this cutting-edge research presentation.
Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases
Explore simulation models for infectious disease spread, examining hospital capacity and social isolation impacts. Learn strategies to minimize propagation through agent-based modeling and experimental analysis.
Inside Out - Can Joy, Sadness, Anger, Fear or Disgust Affect Your Security? - Eric Chan-Tin
Explore the intriguing connection between personality traits and cybersecurity behaviors, examining how emotions influence our online safety decisions and practices.
A Security Analysis of Facebook's Political Ad Party
Análisis de seguridad de la biblioteca de anuncios políticos de Facebook, examinando la efectividad de las políticas de transparencia y divulgación implementadas tras las controversias electorales de 2016.
MVG Mechanism - Differential Privacy under Matrix-Valued Query
Explore a novel differential privacy mechanism for matrix-valued queries, addressing challenges in data protection and improving upon existing methods.
CALM - Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy
Explore constructing marginal tables with Local Differential Privacy, ensuring individual data protection without third-party reliance. Learn CALM protocol for consistent, adaptive local marginal release.
Predicting Impending Exposure to Malicious Content from User Behavior
Explore proactive cybersecurity through user behavior analysis, enabling real-time prediction and prevention of malicious content exposure during browsing sessions.