Cover Image

CAMP: Compiler and Allocator-based Heap Memory Protection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Zhenpeng, Yu, Zheng, Guo, Ziyi, Campanoni, Simone, Dinda, Peter, Xing, Xinyu
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation
by: Guo, Ziyi, et al.
Published: (2024)

ShadowBound: Efficient Heap Memory Protection Through Advanced Metadata Management and Customized Compiler Optimization
by: Yu, Zheng, et al.
Published: (2024)

BandFuzz: An ML-powered Collaborative Fuzzing Framework
by: Shi, Wenxuan, et al.
Published: (2025)

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
by: Shi, Wenxuan, et al.
Published: (2024)

Exploiting LLM Agent Supply Chains via Payload-less Skills
by: Liu, Xinyu, et al.
Published: (2026)

Probing Privacy Leaks in LLM-based Code Generation via Test Generation
by: Ge, Yifei, et al.
Published: (2026)

Verifiable Provenance of Software Artifacts with Zero-Knowledge Compilation
by: Ron, Javier, et al.
Published: (2026)

Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries
by: Zheng, Xinran, et al.
Published: (2026)

Byte-level Object Bounds Protection
by: Kedia, Piyus
Published: (2026)

Security of Language Models for Code: A Systematic Literature Review
by: Chen, Yuchen, et al.
Published: (2024)

Toward an Android Static Analysis Approach for Data Protection
by: Khedkar, Mugdha, et al.
Published: (2024)

Constraint-based Adversarial Example Synthesis
by: Yu, Fang, et al.
Published: (2024)

Automatic Selection of Protections to Mitigate Risks Against Software Applications
by: Canavese, Daniele, et al.
Published: (2025)

RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
by: Lin, Dan, et al.
Published: (2025)

Comparing Effectiveness and Efficiency of Interactive Application Security Testing (IAST) and Runtime Application Self-Protection (RASP) Tools in a Large Java-based System
by: Seth, Aishwarya, et al.
Published: (2023)

Guardians of the Ledger: Protecting Decentralized Exchanges from State Derailment Defects
by: Li, Zongwei, et al.
Published: (2024)

An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
by: Zhan, Dongyang, et al.
Published: (2025)

SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code
by: Yang, Ziyi, et al.
Published: (2026)

Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems
by: Lin, Dan, et al.
Published: (2025)

From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
by: Han, Junxiao, et al.
Published: (2025)

LeakGuard: Detecting Memory Leaks Accurately and Scalably
by: Liang, Hongliang, et al.
Published: (2025)

Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
by: Guo, Hanyang, et al.
Published: (2025)

On the effectiveness of Large Language Models for GitHub Workflows
by: Zhang, Xinyu, et al.
Published: (2024)

When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?
by: Peng, Yibo, et al.
Published: (2025)

How to Secure Existing C and C++ Software without Memory Safety
by: Erlingsson, Úlfar
Published: (2025)

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
by: Si, Meixue, et al.
Published: (2024)

One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts
by: Wang, Zexu, et al.
Published: (2025)

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
by: Wang, Zexu, et al.
Published: (2024)

JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection
by: Li, Zhihao, et al.
Published: (2025)

zkRansomware: Proof-of-Data Recoverability and Multi-round Game Theoretic Modeling of Ransomware Decisions
by: Hou, Xinyu, et al.
Published: (2026)

A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025)

Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis
by: Huang, Huihui, et al.
Published: (2026)

DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
by: Farrelly, Guy, et al.
Published: (2026)

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
by: Guo, Hanyang, et al.
Published: (2024)

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
by: Su, Jianzhong, et al.
Published: (2024)

SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration
by: Guo, Zihan, et al.
Published: (2026)

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
by: Yang, Guang, et al.
Published: (2026)

When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
by: Liu, Yue, et al.
Published: (2025)

SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs
by: Xia, Hongfei, et al.
Published: (2025)