
Reverse engineering neural networks through electromagnetic side channels, revealing architecture details like activation functions, layers, neurons, and weights using non-invasive techniques on ARM Cortex-M3 microcontrollers.

Explores Internet-based child exploitation crimes, their long-term impact on victims, and forensic tools for proactive rescue. Discusses privacy technology's role in both protection and potential misuse.

Explore how embracing "hacky" solutions in cybersecurity can enhance enterprise defense. Learn innovative strategies and custom detection techniques to gain an advantage over attackers.

Explores alignment between COPPA regulations and parents' privacy expectations for smart toys, using contextual integrity surveys to quantify regulatory effectiveness and identify nuanced privacy concerns.

Investigates vulnerabilities in aircraft instrument landing systems to wireless attacks using software-defined radio, demonstrating potential for spoofing signals and causing off-runway landings in low-visibility conditions.

Unveils TESSERACT framework to eliminate spatial and temporal biases in Android malware classification, improving real-world robustness and revealing counterintuitive performance insights.

Exploring technology's role in victim service provider-survivor interactions, balancing trust-building and risk mitigation for human trafficking survivors' recovery and empowerment.

Innovative approach to enhance privacy for Bitcoin lightweight clients using SGX enclaves, combining trusted execution and private information retrieval techniques for improved security without compromising performance.

Innovative fuzzing technique for programs with structured inputs, synthesizing complex structures on-the-fly without pre-configuration, outperforming existing methods and uncovering 19 memory corruption bugs.

Explores factors influencing susceptibility to telephone scams through ethical phishing experiments, revealing the significant impact of spoofed Caller ID on victims' willingness to disclose sensitive information.

Comprehensive overview of Linux network interfaces, from traditional to modern cloud-native types. Explores VMs, containers, and service meshes, aiding in debugging cloud platforms.

Explore Intuit's journey of running Kafka on Kubernetes in AWS, covering evaluation, testing, configuration, and integration with monitoring tools. Learn about challenges faced and solutions implemented.

Análisis de vulnerabilidades en la infraestructura de clave pública y demostración de ataques BGP para obtener certificados falsos, con propuestas de contramedidas para mejorar la seguridad.

Unveiling Foreshadow: A microarchitectural attack exploiting speculative execution to extract secrets from Intel SGX enclaves, compromising trusted execution environments and remote attestation.

Explore automatic vulnerability detection and exploit generation for Ethereum smart contracts using teEther, a tool that analyzes binary bytecode to identify and exploit security weaknesses.

Explores potential attacks on power grids using IoT botnets of high-wattage devices, demonstrating vulnerabilities and impacts through simulations on real-world models. Highlights interdependency between IoT and power grid security.

Explores DNS interception by on-path devices, revealing widespread occurrence and potential security risks. Presents novel detection methods and analyzes data from global IP addresses to uncover concerning practices.

Explores threats to sensor integrity in smart devices and their impact on system security. Discusses EMI interference, vulnerabilities in voice-controlled systems, and potential defenses for improving sensor security.

Introduces defensive distillation to protect deep neural networks from adversarial attacks, reducing attack effectiveness from 95% to 0.5% and increasing robustness by 800% in tests.

Explores security aspects of TLS 1.3 candidates, focusing on multiple handshake protocols. Introduces a multi-level security model and proves the soundness of TLS 1.3 security design.

Cross-platform analysis of potentially harmful libraries in Android and iOS apps, revealing widespread infection and risky behaviors like unauthorized data access and audio/video recording.