Towards an Open and Flexible AI-Driven IDE: A Vision and Proof of Concept with Theia
Explore the vision for an open-source, AI-driven IDE built on Theia that offers customizable AI integration, enhanced privacy controls, and freedom from vendor lock-in for modern development workflows.
User-Level and Federated Local Differential Privacy in Statistical Inference
Explore fundamental statistical inference challenges in distributed data systems with differential privacy constraints across servers and users, focusing on privacy-preserving information transmission.
Feminist Interaction Techniques - Social Consent Signals to Deter NCIM Screenshots
Explore innovative interaction techniques inspired by feminist principles to prevent non-consensual intimate media sharing through screenshot deterrence mechanisms and social signals.
The Disruptive Potential of On-Device LLMs
Explore the transformative world of on-device LLMs, their advantages over traditional models, real-world applications, and future potential in AI technology through practical demonstrations and case studies.
Evil Tech: How Developers Became Villains - The Ethics of Modern Software Development
Explore the transformation of developers from celebrated innovators to scrutinized figures, examining ethical dilemmas in modern tech development and the balance between progress and responsibility.
VoiceAttack: Fingerprinting Voice Commands on VPN-Protected Smart Home Speakers
Uncover how voice commands on VPN-protected smart speakers can be fingerprinted and potentially compromised, exploring security vulnerabilities in smart home systems.
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Explore how DP-SGD provides stronger privacy guarantees for similar datapoints in deep learning, revealing why common benchmarks leak less information than previously estimated.
Exploring Digital Security and Privacy in Relative Poverty in Germany - A Qualitative Interview Study
Explore how income status affects digital security practices in Germany through research findings on low-income users' privacy concerns, behaviors, and technological challenges.
Peep With A Mirror: Breaking The Integrity of Android App Sandboxing via Unprivileged Cache Side Channel
Discover how cache side-channel attacks can breach Android app sandboxing, revealing private app behaviors through unprivileged memory access and dynamic inter-app component sharing techniques.
Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants
Explore how blind and low-vision users navigate digital privacy challenges, their risk perceptions, and the potential role of privacy Q&A assistants in improving their online safety and information access.
Less is More: Revisiting the Gaussian Mechanism for Differential Privacy
Explore groundbreaking improvements to differential privacy through a novel Rank-1 Singular Multivariate Gaussian mechanism that enhances data protection while minimizing accuracy loss in high-dimensional queries.
Differentially Private Diffusion Probabilistic Models for Image Synthesis
Explore how dp-promise leverages diffusion model noise to achieve differential privacy in image synthesis while maintaining high image quality and protecting sensitive training data.
CalcuLatency: Leveraging Cross-Layer Network Latency Measurements to Detect Proxy-Enabled Abuse
Explore how CalcuLatency uses network latency measurements to detect proxy-enabled abuse, combining application and network layer analysis for effective proxy identification.
Exploiting Online Games - Security Issues in MMORPGs and Virtual Economies
Delve into online gaming security vulnerabilities, cheating mechanisms, and protective measures with insights from gaming security expert Gary McGraw, exploring privacy concerns and bot creation in MMORPGs.
Can LLMs Keep a Secret? - Privacy and Security in Large Language Models
Explore the critical aspects of privacy and security in Large Language Models through an in-depth analysis of their ability to protect sensitive information.
Negative Effects of Social Triggers on User Security and Privacy Behaviors
Explore how social influences can negatively impact security and privacy decisions, revealing patterns of risky behavior transmission and proposing methods to mitigate these social effects on digital safety.
Understanding Users' Awareness and Control of Privacy Permissions on Android Smartphones
Explore groundbreaking research on Android users' privacy permission awareness and control behaviors, revealing key patterns in how people manage app permissions and protect personal data.
Privacy Requirements and Realities of Digital Public Goods
Explore the effectiveness of privacy standards in Digital Public Goods (DPGs), examining current evaluation methods and real-world implementation challenges in government service delivery systems.
Privacy Communication Patterns for Domestic Robots
Explore privacy communication strategies for domestic robots, focusing on trust-building patterns and user preferences for managing sensor data collection and connectivity in home environments.
Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams
Explore privacy perceptions and practices across software development teams through a comprehensive study of 362 participants, revealing key insights into privacy knowledge gaps and compliance challenges.
Evaluating the Usability of Differential Privacy Tools with Data Practitioners
Explore the usability evaluation of four Python-based differential privacy tools through a comprehensive study of 24 data practitioners, revealing key insights for improving implementation and adoption.