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

U
Unit 42
V
V2EX
Martin Fowler
Martin Fowler
博客园 - Franky
P
Proofpoint News Feed
P
Palo Alto Networks Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
B
Blog
The Register - Security
The Register - Security
Latest news
Latest news
S
Security @ Cisco Blogs
Simon Willison's Weblog
Simon Willison's Weblog
Recorded Future
Recorded Future
大猫的无限游戏
大猫的无限游戏
M
Microsoft Research Blog - Microsoft Research
Scott Helme
Scott Helme
T
Tailwind CSS Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Application and Cybersecurity Blog
Application and Cybersecurity Blog
T
True Tiger Recordings
有赞技术团队
有赞技术团队
I
Intezer
Cisco Talos Blog
Cisco Talos Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
The GitHub Blog
The GitHub Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Tenable Blog
博客园 - 叶小钗
Hugging Face - Blog
Hugging Face - Blog
Hacker News: Ask HN
Hacker News: Ask HN
S
Security Archives - TechRepublic
F
Future of Privacy Forum
爱范儿
爱范儿
PCI Perspectives
PCI Perspectives
H
Help Net Security
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
T
The Blog of Author Tim Ferriss
MyScale Blog
MyScale Blog
N
Netflix TechBlog - Medium
罗磊的独立博客
Apple Machine Learning Research
Apple Machine Learning Research
MongoDB | Blog
MongoDB | Blog
Security Latest
Security Latest
美团技术团队
博客园 - 三生石上(FineUI控件)
S
Schneier on Security
量子位
C
CERT Recently Published Vulnerability Notes
SecWiki News
SecWiki News

cs.AI updates on arXiv.org

OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning Who Uses AI? Platforms, Workforce, and AI Exposure SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval Understanding Perspectives of Patients, Caregivers and Clinicians towards Emerging Collaborative-decision Making Technologies MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing The Shape of Testimony: A Scalable Framework for Oral History Archive Comparison Evaluation of Pipelines for Data Integration into Knowledge Graphs Engineering Hybrid Physics-Informed Neural Networks for Next-Generation Electricity Systems: A State-of-the-Art Review Evaluating Large Language Models as Live Strategic Agents: Provider Performance, Hybrid Decomposition, and Operational Gaps in Timed Risk Play Scalable On-Policy Reinforcement Learning via Adaptive Batch Scaling Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention Support-aware offline policy selection for advertising marketplaces Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents Thermodynamic Irreversibility of Training Algorithms CausalGuard: Conformal Inference under Graph Uncertainty Scaling Observation-aware Planning in Uncertain Domains Latent-space Attacks for Refusal Evasion in Language Models HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation Harnesses for Inference-Time Alignment over Execution Trajectories Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost Autonomous LLM Agents & CTFs: A Second Look Beyond the Org Chart: AI and the Transformation of Invisible Work Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence Forecasting Scientific Progress with Artificial Intelligence WorkstreamBench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance Implicit Safety Alignment from Crowd Preferences AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration ECPO: Evidence-Coupled Policy Optimization for Evidence-Certified Candidate Ranking Addressing the Synergy Gap: The Six Elements of the Design Space CLORE: Content-Level Optimization for Reasoning Efficiency Investigating Concept Alignment Using Implausible Category Members The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents LLM-Metrics: Measuring Research Impact Through Large Language Model Memory Unlocking Proactivity in Task-Oriented Dialogue RefusalBench: Why Refusal Rate Misranks Frontier LLMs on Biological Research Prompts KAPPS: A knowledge-based CPPS Architecture for the Circular Factory Graph neural network explanations reveal a topological signature of disease-associated hubs in biological networks Predicting Performance of Symbolic and Prompt Programs with Examples Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade Execution Claw AI Lab: An Autonomous Multi-Agent Research Team A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery TBP-mHC: full expressivity for manifold-constrained hyper connections through transportation polytopes IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Skill Weaving: Efficient LLM Improvement via Modular Skillpacks MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control A Causal Argumentation Method for Explainability of Machine Learning Models Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems A Subjective Logic-based method for runtime confidence updates in safety arguments Meta-Learning for Rapid Adaptation in Reference Tracking of Uncertain Nonlinear Systems SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks? Towards Direct Evaluation of Harness Optimizers via Priority Ranking What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct Advancing Mathematics Research with AI-Driven Formal Proof Search Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most High-speed Networking for Giga-Scale AI Factories TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks Parametric Modular Answer Set Programs Made Declarative Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs Towards a General Intelligence and Interface for Wearable Health Data Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework Meta-Soft: Leveraging Composable Meta-Tokens for Context-Preserving KV Cache Compression Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents Towards a compositional semantics for quantitative confidence assessment in assurance arguments ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning Knowledge Graph Re-engineering Along the Ontological Continuum (extended version) Multivariate Financial Forecasting using the Chronos Time Series Foundation Models Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables LLM Retrieval for Stable and Predictable Ad Recommendations
Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
Md Israfeel · 2026-05-23 · via cs.AI updates on arXiv.org

View PDF HTML (experimental)

Abstract:The advent of cardless artificial intelligence (AI) banking heralds a paradigm shift in the financial landscape, offering users unprecedented security and convenience. This paper outlines a comprehensive framework designed to enhance cybersecurity, introduce auto-generated virtual cards, and mitigate fraud risks within cardless AI banking systems. The framework envisions a future banking architecture that employs AI-powered data cryptography to create secure virtual cards for seamless transactions. By emphasizing secure communication channels, it ensures the integrity of financial activities among banking systems, cardholders, and third-party vendors. AI-based authorization methodologies play a pivotal role in authenticating each transaction while proactively identifying potential fraud, demonstrating the framework's efficacy in fortifying cardless AI banking security. The initial approach, featuring an AI-driven, feature-based banking system, ensures the generation of virtual cards with encrypted data, minimizing information exposure and reducing fraud risks. Integrating a machine learning algorithm adds an additional layer of protection against potential fraudulent activities. In conclusion, the proposed framework establishes a holistic cybersecurity and fraud-mitigation paradigm for cardless AI banking systems. Its implementation empowers financial institutions to address security concerns associated with traditional banking, paving the way for a future banking landscape that is not only fraud-resistant but also secure and convenient for users.
Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Software Engineering (cs.SE)
Cite as: arXiv:2605.22604 [cs.CR]
  (or arXiv:2605.22604v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2605.22604

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Md Israfeel [view email]
[v1] Thu, 21 May 2026 15:17:50 UTC (1,229 KB)