Safer Digital Intimacy via Proactive Protection Against Image-Based Sexual Abuse
Explore groundbreaking research on protecting digital intimate content sharing through interviews with 52 European content creators, examining threats, defense strategies, and technological solutions for preventing abuse.
Go Go Gadget Hammer: Flipping Nested Pointers for Arbitrary Data Leakage
Explore a novel Rowhammer exploit technique targeting nested pointer dereferences in code patterns, demonstrating enhanced data leakage capabilities and improved attack primitives in Linux kernel security.
VulSim: Leveraging Similarity of Multi-Dimensional Neighbor Embeddings for Vulnerability Detection
Explore advanced vulnerability detection techniques using multi-dimensional neighbor embeddings and deep learning models to enhance software security through improved pattern recognition and data analysis.
MOAT: Towards Safe BPF Kernel Extension
Discover how MOAT system enhances Linux kernel security by isolating BPF programs using Intel Memory Protection Keys, offering efficient protection with minimal performance impact.
Endokernel - A Thread Safe Monitor for Lightweight Subprocess Isolation
Explore how Endokernel achieves secure subprocess isolation through thread-safe monitoring, efficient memory isolation, and systematic policy enforcement for enhanced application security.
Large Language Models for Code Analysis - Evaluating LLM Performance and Limitations
Explore the capabilities and limitations of Large Language Models in code analysis, focusing on their effectiveness with obfuscated code and real-world applications through systematic evaluation.
SmartCookie: Blocking Large-Scale SYN Floods with a Split-Proxy Defense on Programmable Data Planes
Discover how SmartCookie leverages programmable switches to block SYN flood attacks while maintaining network performance, offering innovative defense mechanisms for modern high-speed networks.
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.
Tossing in the Dark: Practical Bit-Flipping on Gray-box Deep Neural Networks for Runtime Trojan Injection
Explore practical bit-flipping techniques for runtime Trojan injection in deep neural networks, focusing on gray-box scenarios and innovative approaches to bypass memory protection systems.
SpecLFB: Eliminating Cache Side Channels in Speculative Executions
Discover how SpecLFB leverages Line-Fill-Buffer to eliminate cache side-channel vulnerabilities in speculative executions, offering an efficient defense mechanism with minimal performance impact.
SWOOSH - Efficient Lattice-Based Non-Interactive Key Exchange
Discover groundbreaking advances in post-quantum cryptography through an efficient lattice-based Non-Interactive Key Exchange (NIKE) system that achieves 120-bit security level with optimized implementation and 220KB public keys.
Ahoy SAILR - A Compiler-Aware Structuring Algorithm for Binary Decompilation
Discover how SAILR, a novel structuring algorithm, revolutionizes binary decompilation by intelligently preserving necessary gotos while removing spurious ones, improving code readability and accuracy.
Diffie-Hellman Key Exchange Security Issues in Commercial VoWiFi Deployments
Explore critical security vulnerabilities in VoWiFi deployments, focusing on IPsec tunnel key exchanges and their implications for mobile network operators and user equipment worldwide.
Towards an Effective Method of ReDoS Detection for Non-backtracking Engines
Explore advanced techniques for detecting ReDoS vulnerabilities in non-backtracking regex engines, featuring EvilStrGen tool and novel attack string generation methods for enhanced security testing.
A Binary-level Thread Sanitizer - Why Sanitizing on the Binary Level is Hard
Explore the challenges and solutions of binary-level thread sanitization through BINTSAN, a novel approach for detecting data races in Linux x86-64 targets without source code access.
Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection
Explore FrameFlip, a groundbreaking attack method that depletes DNN model inference through single-bit fault injections, demonstrating universal effectiveness across major machine learning frameworks.
DMAAUTH: A Lightweight Pointer Integrity-based Secure Architecture to Defeat DMA Attacks
Explore a lightweight pointer integrity-based architecture that provides enhanced DMA attack protection while maintaining performance, demonstrated through FPGA implementation and cross-architecture evaluation.
PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models
Discover how PhishDecloaker uses AI and computer vision to detect CAPTCHA-protected phishing websites, improving detection rates from 0% to 74.25% and enhancing cybersecurity defenses.
Measuring Structural Limitations of Deepfake Media Datasets - A Systematic Review
Explore structural limitations in deepfake media datasets, examining metrics, generation techniques, and class distributions to understand their impact on detection systems and research reproducibility.
A Taxonomy of C Decompiler Fidelity Issues
Explore a comprehensive analysis of C decompiler output fidelity issues, examining defects beyond missing names and types to improve reverse engineering effectiveness in security analysis.
Investigating Moderation Challenges to Combating Hate and Harassment: The Case of Mod-Admin Power Dynamics and Feature Misuse on Reddit
Explore the complex dynamics between Reddit moderators and admins, examining feature misuse, harassment prevention challenges, and strategies for creating safer online communities.