F-BLEAU - Fast Black-Box Leakage Estimation
Innovative method for estimating information leakage in black-box systems using machine learning techniques, improving efficiency and applicability to continuous output spaces.
Short Text, Large Effect - Measuring the Impact of User Reviews on Android App Security & Privacy
Exploring the impact of user reviews on Android app security and privacy, analyzing 4.5M reviews to identify concerns and measure developers' responses through code changes.
Binary Analysis with Architecture and Code Section Detection Using Supervised Machine Learning
Explore supervised machine learning techniques for binary analysis, focusing on architecture and code section detection to enhance reverse engineering and security analysis.
A Programming Framework for Differential Privacy with Accuracy Concentration Bounds
Explore a programming framework for differential privacy, balancing data protection and analysis accuracy through novel static tracking and taint analysis techniques.
WaveSpy - Remote and Through-Wall Screen Attack via mmWave Sensing
Explores a novel screen attack method using mmWave sensing to remotely capture display content through walls, bypassing traditional security measures and demonstrating vulnerabilities in isolated environments.
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Explores collaborative machine learning on distributed private data using differentially-private gradients, quantifying trade-offs between privacy and utility, and validating performance predictions with real-world financial datasets.
Measuring and Analyzing Search Engine Poisoning of Linguistic Collisions
Analyzing linguistic-collision search poisoning attacks, revealing prevalence and impact on Google and Baidu. Explores misspellings, auto-correction evasion, and targeted categories, offering insights for threat mitigation.
Inferring User Routes and Locations Using Zero-Permission Mobile Sensors
Explore zero-permission mobile sensor vulnerabilities for inferring user routes and locations, highlighting privacy risks and proposing detection methods through maximum likelihood route identification.
Trustworthy Data Analytics in the Cloud Using SGX
Explore trustworthy cloud-based data analytics using SGX technology. Learn about VC3, a system enabling secure MapReduce computations while preserving confidentiality and integrity of code and data.
Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
Explore timing and floating-point vulnerabilities in differential privacy systems, uncovering potential privacy leaks and discussing mitigation strategies for enhanced data protection.
DP-Sniper - Black-Box Discovery of Differential Privacy Violations Using Classifiers
Explore a novel approach to detect differential privacy violations using classifiers, enhancing data protection and privacy in machine learning systems.
Deep Learning Workshop for Satellite Imagery - Training & Prediction
Hands-on deep learning workshop for satellite imagery, covering model training, debugging, prediction, and advanced techniques like custom metrics, heatmaps, and model deployment.
Deep Learning Workshop for Satellite Imagery - Data Processing
Hands-on workshop on data processing for satellite imagery, covering fundamentals, Python processing, image manipulation, and preparation of training data for deep learning applications.
Non Medical Parkinson's Treatment
Explore non-medical treatments for Parkinson's, focusing on music therapy and singing. Learn about research findings, virtual interventions, and outreach programs for symptom management.
Family Bereavement - Role of Nurses with Ulrika Kreicbergs, Ph.D.
Explore research on family grief and bereavement in pediatric palliative care, focusing on experiences before and after a child's death. Learn about findings, outcomes, and practical applications for healthcare professionals.
Public Health - Education, Access, and Policy in Addressing Health Crises
Explore public health pillars and data's role in addressing COVID-19 and opioid crises with Marin County's Health Officer Matt Willis. Gain insights on vaccination trends, policy, and communication strategies.
Human-Human Communication
Explore human-human communication principles and their application to human-robot dialogue, focusing on referential grounding, collaborative effort, and empirical studies using NAO robots.
Reflexive Theory of Mind Reasoning in Games
Explore reflexive theory-of-mind reasoning in games, examining how players build predictive mental models of co-players based on experience and context, challenging traditional game-theoretic assumptions.
Protecting PII and PHI Data in Data Lakes with Column-Level Encryption
Explore column-level encryption techniques for protecting sensitive data in data lakes, including design, implementation, and key management, with a focus on securing PII/PHI information.
The COVID-19 Pandemic – Sequencing: Impacts on Public Health
Explore COVID-19 sequencing's impact on public health, virus evolution, and genomic data analysis with insights on transmission patterns and mutation tracking.
The COVID-19 Pandemic - Epidemiology
Explore COVID-19 epidemiology with Prof. Sunetra Gupta, covering data, life history strategies, vulnerability, risk, antibody tests, lockdown impacts, and future indoor activities.