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The Hidden Risks of LLM-Generated Web Application Code: A Security-Centric Evaluation of Code Generation Capabilities in Large Language Models
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Token-Efficient Prompt Injection Attack: Provoking Cessation in LLM Reasoning via Adaptive Token Compression
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Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
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Enhancing Leakage Attacks on Searchable Symmetric Encryption Using LLM-Based Synthetic Data Generation
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A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
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The Automation Advantage in AI Red Teaming
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CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
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