
Explore the limitations and challenges of penetration testing in cybersecurity, discussing its effectiveness, terminology issues, and potential alternatives for improving security assessments.

Explore the hidden world of data tracking on mental health websites, uncovering privacy risks and ethical concerns in online depression tests and advertising practices.

Explore deniable encryption techniques, their applications, and implementation, focusing on set and string reconciliation methods for secure communication.

Explore self-concealing, deniable encryption techniques similar to VeraCrypt's hidden volume feature, covering design, implementation, and forensic analysis considerations.

Experts discuss shifting focus back to information security, exploring advancements in identity management and encryption to better protect data in an interconnected world.

Keynote explores rising security challenges, sophisticated threats, and future risks in the digital economy, emphasizing the need for unified security to protect data and infrastructure.

Learn Android app penetration testing essentials, including tools, methodologies, and practical techniques for identifying vulnerabilities and securing mobile applications.

Debunking "zero-trust network" hype, exploring practical implementation of zero-trust architecture, and its business benefits. Separates fact from fantasy in cybersecurity buzzwords.

Explore aviation cybersecurity challenges, global efforts, and cross-sector lessons in this talk on protecting critical systems, ensuring safety, and addressing the expanding digital attack surface.

Explore privacy-preserving machine learning techniques to harness AI's power while maintaining data confidentiality, with insights on federated learning, trusted execution environments, and homomorphic encryption.

Learn techniques for legally obtaining sensitive data, exploring data loss prevention, hardware analysis, and social media investigations with cybersecurity expert Dave Chronister.

Exploring data security through nuclear isolation techniques, this talk presents innovative approaches to protect sensitive information and ensure controlled data manipulation in modern data science.

Explore Ramparts, a compiler translating Julia code for homomorphic encryption, enabling secure computation on encrypted data without cryptography expertise.

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.

Learn to secure .NET Core data using encryption, hashing, and authentication techniques. Covers random number generation, symmetric/asymmetric encryption, digital signatures, and hybrid encryption schemes.

Riverbed: A framework for privacy-respecting web services, allowing users to define data processing constraints. Uses remote attestation and IFC to enforce policies without requiring code modifications.

Explore privacy-preserving video analytics with Privid, a system enforcing duration-based privacy for public surveillance footage while maintaining utility for various applications.

Explore SGXDedup, a novel approach leveraging Intel SGX to accelerate encrypted deduplication for outsourced storage, offering significant performance improvements while maintaining security and efficiency.

Explore fast, scalable zero-knowledge proofs for Boolean and arithmetic circuits, covering applications, existing systems, tradeoffs, and innovative protocols like SVLE and Cotton Bucketing.

Explore a secure data-sharing system that protects user privacy and ensures data integrity through decentralized trust, hiding identities and detecting server-side violations.

Discover strategies for operating Elasticsearch at scale, covering common issues, optimization techniques, and best practices for handling massive deployments with billions of ingests and millions of searches daily.