
Explore fast patch propagation in software repositories, focusing on security patches, solution requirements, and implementation techniques for efficient and safe updates.

Explore an extensible framework for assessing IC layout vulnerability to additive trojans, covering hardware security, development processes, and preventive measures.

Uncover hidden data collection in modern cars using AutoCAN tool. Reveals GPS tracking, occupant info, usage stats, and remote control capabilities through automated network analysis and reverse engineering.

Unveils a robust de-anonymization technique for Bluetooth Classic devices, demonstrating vulnerabilities in privacy guarantees and enabling tracking of piconet masters through SDR-based sniffing.

Introduces private resource allocators to prevent allocation-based side-channel attacks in systems like anonymous messaging, with various constructions offering different privacy guarantees and trade-offs in efficiency.

Explores vulnerabilities in provably secure onion routing protocols, analyzes flaws in existing proof strategies, and proposes improved properties to enhance anonymity and security in these systems.

Explore a programming framework for differential privacy, balancing data protection and analysis accuracy through novel static tracking and taint analysis techniques.

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.

Analyzes security of smartphone unlock PINs, comparing 4- and 6-digit options, and evaluating effectiveness of blacklists in enhancing protection against guessing attacks.

Reverse engineering DDIO to demonstrate NetCAT, a network-based cache attack enabling remote keystroke timing attacks and covert channels, highlighting security risks in modern Intel processors.

Experts discuss essential privacy and security information for IoT device labels, proposing a two-layer design to help consumers make informed purchase decisions.

Explores differential privacy as a causal property, offering a simple characterization without data independence assumptions and resolving prior disagreements about its consequences and applications.

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.

Principled detection of speculative information flows in computer systems, focusing on security against Spectre-like attacks through speculative non-interference and symbolic execution techniques.

Mitigating Spectre attacks using Control-Flow Integrity to constrain speculative execution, combining forward and backward edge protection for comprehensive defense against non-vendor-specific vulnerabilities.

Explores secure Time-of-Arrival measurement through Message Time of Arrival Codes, addressing attacks on proximity verification systems and discussing performance-security tradeoffs in signal modulation techniques.

Comprehensive analysis of shadow stack mechanisms for protecting against control-flow hijacking attacks, evaluating performance, compatibility, and security. Proposes a novel design using a dedicated register.

Comprehensive security evaluation methodology for home IoT devices, analyzing attack techniques, mitigations, and stakeholders. Includes assessment of 45 devices to identify research gaps.

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.

Exploring LTE layer two vulnerabilities: identity mapping, website fingerprinting via resource allocation, and payload modification through the A LTE R attack, demonstrating critical security risks in mobile communications.

Neutralizing vulnerabilities using error-handling code for rapid response, minimizing patch delays while maintaining functionality. Explores automated security workarounds to mitigate risks in popular Linux server applications.