惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Hacker News: Ask HN
Hacker News: Ask HN
IT之家
IT之家
S
SegmentFault 最新的问题
T
Tailwind CSS Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 司徒正美
J
Java Code Geeks
博客园 - 聂微东
雷峰网
雷峰网
阮一峰的网络日志
阮一峰的网络日志
The Cloudflare Blog
博客园_首页
大猫的无限游戏
大猫的无限游戏
博客园 - 三生石上(FineUI控件)
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
博客园 - 【当耐特】
腾讯CDC
Apple Machine Learning Research
Apple Machine Learning Research
酷 壳 – CoolShell
酷 壳 – CoolShell
V
V2EX
宝玉的分享
宝玉的分享
小众软件
小众软件
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Hugging Face - Blog
Hugging Face - Blog
月光博客
月光博客
NISL@THU
NISL@THU
T
The Exploit Database - CXSecurity.com
C
CXSECURITY Database RSS Feed - CXSecurity.com
WordPress大学
WordPress大学
有赞技术团队
有赞技术团队
Blog — PlanetScale
Blog — PlanetScale
aimingoo的专栏
aimingoo的专栏
L
LINUX DO - 热门话题
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
F
Fortinet All Blogs
博客园 - Franky
L
Lohrmann on Cybersecurity
S
Secure Thoughts
量子位
V
Vulnerabilities – Threatpost
Last Week in AI
Last Week in AI
博客园 - 叶小钗
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
L
LINUX DO - 最新话题
I
InfoQ
C
CERT Recently Published Vulnerability Notes
Security Archives - TechRepublic
Security Archives - TechRepublic
P
Proofpoint News Feed
G
GRAHAM CLULEY
Cisco Talos Blog
Cisco Talos Blog

cs.SE updates on arXiv.org

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraph Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning Neurosymbolic Repo-level Code Localization CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Verification Modulo Tested Library Contracts The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE Scaling Test-Time Compute for Agentic Coding AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study Benchmarks for Trajectory Safety Evaluation and Diagnosis in OpenClaw and Codex: ATBench-Claw and ATBench-Codex Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks Prompt-Driven Code Summarization: A Systematic Literature Review LinuxArena: A Control Setting for AI Agents in Live Production Software Environments LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go? Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems SIR-Bench: Evaluating Investigation Depth in Security Incident Response Agents CodeTracer: Towards Traceable Agent States Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI Systems FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems Designing Adaptive Digital Nudging Systems with LLM-Driven Reasoning Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning Ambiguity Detection and Elimination in Automated Executable Process Modeling Compliant But Unsatisfactory: The Gap Between Auditing Standards and Practices for Probabilistic Genotyping Software Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis The Code Whisperer: LLM and Graph-Based AI for Smell and Vulnerability Resolution AutoFlows++: Hierarchical Message Flow Mining for System on Chip Designs DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells Vibe-driven model-based engineering Machine Learning-Based Detection of MCP Attacks Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks Intent-aligned Formal Specification Synthesis via Traceable Refinement ClawVM: Harness-Managed Virtual Memory for Stateful Tool-Using LLM Agents From Helpful to Trustworthy: LLM Agents for Pair Programming MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis Applying an Agentic Coding Tool for Improving Published Algorithm Implementations Formal Architecture Descriptors as Navigation Primitives for AI Coding Agents Rebooting Microreboot: Architectural Support for Safe, Parallel Recovery in Microservice Systems Can Coding Agents Be General Agents? Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models CCCE: A Continuous Code Calibration Engine for Autonomous Enterprise Codebase Maintenance via Knowledge Graph Traversal and Adaptive Decision Gating Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation Safety Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm ECM Contracts: Contract-Aware, Versioned, and Governable Capability Interfaces for Embodied Agents Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent CODESTRUCT: Code Agents over Structured Action Spaces Chinese Language Is Not More Efficient Than English in Vibe Coding: A Preliminary Study on Token Cost and Problem-Solving Rate Inside the Scaffold: A Source-Code Taxonomy of Coding Agent Architectures Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy WybeCoder: Verified Imperative Code Generation QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation ContractSkill: Repairable Contract-Based Skills for Multimodal Web Agents From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling From Scalars to Tensors: Declared Losses Recover Epistemic Distinctions That Neutrosophic Scalars Cannot Express Automating Crash Diagram Generation Using Vision-Language Models: A Case Study on Multi-Lane Roundabouts LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification MobiFlow: Real-World Mobile Agent Benchmarking through Trajectory Fusion A Pythonic Functional Approach for Semantic Data Harmonisation in the ILIAD Project Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement ACE-Bench: A Lightweight Benchmark for Evaluating Azure SDK Usage Correctness X-SYS: A Reference Architecture for Interactive Explanation Systems KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Capture the Flags: Family-Based Evaluation of Agentic LLMs via Semantics-Preserving Transformations VeruSAGE: A Study of Agent-Based Verification for Rust Systems Process-Centric Analysis of Agentic Software Systems Enabling Predictive Maintenance in District Heating Substations: A Labelled Dataset and Fault Detection Evaluation Framework based on Service Data Context-Guided Decompilation: A Step Towards Re-executability Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model From Charts to Code: A Hierarchical Benchmark for Multimodal Models E2Edev: Benchmarking Large Language Models in End-to-End Software Development Task AISysRev -- LLM-based Tool for Title-abstract Screening SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
Towards Efficient Verification of Constant-Time Cryptographic Implementations
Luwei Cai, Fu Song, Taolue Chen · 2024-02-21 · via cs.SE updates on arXiv.org

Timing side-channel attacks exploit secret-dependent execution time to fully or partially recover secrets of cryptographic implementations, posing a severe threat to software security. Constant-time programming discipline is an effective software-based countermeasure against timing side-channel attacks, but developing constant-time implementations turns out to be challenging and error-prone. Current verification approaches/tools suffer from scalability and precision issues when applied to production software in practice. In this paper, we put forward practical verification approaches based on a novel synergy of taint analysis and safety verification of self-composed programs. Specifically, we first use an IFDS-based lightweight taint analysis to prove that a large number of potential (timing) side-channel sources do not actually leak secrets. We then resort to a precise taint analysis and a safety verification approach to determine whether the remaining potential side-channel sources can actually leak secrets. These include novel constructions of taint-directed semi-cross-product of the original program and its Boolean abstraction, and a taint-directed self-composition of the program. Our approach is implemented as a cross-platform and fully automated tool CT-Prover. The experiments confirm its efficiency and effectiveness in verifying real-world benchmarks from modern cryptographic and SSL/TLS libraries. In particular, CT-Prover identify new, confirmed vulnerabilities of open-source SSL libraries (e.g., Mbed SSL, BearSSL) and significantly outperforms the state-of-the-art tools.