Build Privacy into Your Products and Gain User Trust
Learn strategies to integrate privacy policies and infrastructure into products, enhancing user trust and regulatory compliance while fostering growth and empowering users to understand data usage.
Genomics - A New Frontier for Privacy and Security
Exploring genomics' impact on privacy, security, and healthcare, with insights from industry leaders on opportunities, challenges, and ethical considerations in this emerging field.
Privacy - The Last Stand for Fair Algorithms
Explore privacy's role in creating fair algorithms and ethical machine learning models. Learn about privacy-preserving techniques and their impact on data science and product design.
How to Build with Data Trust and Privacy as a Baseline
Explore tactical approaches for data stewardship, privacy, and trust in software development, including differential privacy techniques, in the face of growing regulations.
Identity & Trust in Monitored Spaces
Explore privacy, identity, consent, and data protection in monitored spaces. Learn to design systems that respect user rights and comply with regulations while ensuring security and trust.
Cyberlaw - Year In Review
Irreverent overview of key cybersecurity legal issues, covering privacy, security, hacking, digital rights, and data breaches. Highlights important cases and regulations with a focus on fundamental principles.
Blink for Your Password, Blink Away Your Civil Rights?
Explore legal implications of biometric technology on civil rights, focusing on 4th and 5th Amendment protections. Learn design suggestions for mobile devices and tips for users.
Lamphone - Passive Sound Recovery from a Desk Lamp's Light Bulb Vibrations
Explore Lamphone, a novel optical side-channel attack that recovers sound from desk lamp vibrations, enabling passive eavesdropping from a distance with high-quality results.
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
Novel model inversion attacks on classification models reveal vulnerabilities in ML technologies, potentially leaking sensitive training data. Explores confidence score-based and label-only attacks, demonstrating disparate vulnerability across different…
Privid - Practical, Privacy-Preserving Video Analytics Queries
Explore privacy-preserving video analytics with Privid, a system enforcing duration-based privacy for public surveillance footage while maintaining utility for various applications.
iPhone Surgery for the Practically Paranoid
Explore iPhone component removal to enhance privacy, balancing functionality loss. Learn about device resilience, sensor impacts, and practical steps for those seeking stronger data collection protection.
Privacy Budget Scheduling
Explores privacy budget scheduling in machine learning, introducing PrivateKube for managing differential privacy as a resource. Presents DPF algorithm for fair allocation of non-replenishable privacy budgets in ML workloads.
Cinderella - Turning Shabby X.509 Certificates into Elegant Anonymous Credentials with the Magic of Verifiable Computation
Transforming X.509 certificates into anonymous credentials using verifiable computation, enhancing privacy and integrity in authentication for applications like TLS and e-voting.
Bitcoin Over Tor Isn't a Good Idea
Explores security vulnerabilities when using Bitcoin with Tor, demonstrating how attackers can compromise user privacy, control information flow, and potentially identify users despite anonymization attempts.
Wolverine - Fast, Scalable, and Communication-Efficient Zero-Knowledge Proofs for Boolean and Arithmetic Circuits
Explore fast, scalable zero-knowledge proofs for Boolean and arithmetic circuits, covering applications, existing systems, tradeoffs, and innovative protocols like SVLE and Cotton Bucketing.
Which Privacy and Security Attributes Most Impact Consumers' Risk Perception and Willingness to Purchase IoT Devices
Explore how privacy and security factors influence consumer perceptions and purchasing decisions for IoT devices, with insights on risk assessment and labeling effectiveness.
K-Fingerprinting - A Robust Scalable Website Fingerprinting Technique
Explores k-fingerprinting, a robust website fingerprinting technique using random decision forests, demonstrating high accuracy in identifying visited web pages through encrypted connections.
Personal Information Leakage by Abusing the GDPR 'Right of Access'
Explores GDPR 'Right of Access' vulnerabilities, revealing how impersonation tactics can lead to unauthorized data access. Offers insights on improving identity verification processes for enhanced data protection.
Tackling the Trust and Safety Crisis
Exploring challenges in building safe, trustworthy tech products for billions globally, drawing from past mistakes and suggesting ways forward in this complex, multidisciplinary issue.
Ghostor - Toward a Secure Data Sharing System from Decentralized Trust
Explore a secure data-sharing system that protects user privacy and ensures data integrity through decentralized trust, hiding identities and detecting server-side violations.
In Search of Security Shangri-La
Exploring the evolution of cybersecurity practices, challenges in integrating security into tech processes, and strategies for achieving a more collaborative and effective security approach in modern organizations.