Security & Cryptography · Computer Science & AI
Cryptography & Security
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1,372 papers, from 4 September 2026 to 5 November 2026: 1,372 arXiv preprints.
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Newest papers, page 64
Canaries in the Bank: Auditing User-Level Privacy in Private Evolution
Private Evolution (PE) generates high-fidelity synthetic data in federated settings without exposing users' raw data.A Three-Axis Stress Test of LLM vs Classical ML for Network Intrusion Detection under Distribution Shift and Adversarial Evasion
Large language models are increasingly benchmarked against classical machine learning for network intrusion detection (NIDS), almost always using same-dataset evaluation, and that protocol turns out…Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2
Membership inference attacks (MIAs) try to determine whether a specific record was used to train a model, a privacy risk that matters in natural language processing (NLP), where training data can…Empirical Evaluation of Data Poisoning Attacks in Supervised Learning
Data poisoning corrupts training data to degrade a model or to plant attacker-controlled behavior.Demystifying the Privacy-Utility Trade-off in LLM Interactions
The integration of Large Language Models into daily tasks relies on context-rich instructions, inevitably exposing sensitive user information.DeFiFusion: Combining Transaction Events with Smart Contracts to Detect Price Manipulation Attacks
Decentralized Finance (DeFi) has emerged as a rapidly growing blockchain-based financial service, where market transaction dynamics and underlying smart contract logic are intricately intertwined.BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure
LM-agent benchmarks increasingly function as interactive evaluation infrastructure.terms.txt: A Consent and Compensation Protocol for Agentic Web Access
The open web ran on an unwritten bargain: sites admitted crawlers, and search engines sent visitors back.SoulAuth: An Actor-native Identity Architecture and Rust Reference Implementation for Humans and Long-lived AI Actors
As AI systems move from transient model invocations toward long-lived actors that persist across credentials, clients, sessions, and runtime instances, identity infrastructure must answer a basic…Deep-Fake CAPTCHA: Mitigating Next-Generation Social Engineering Attacks
This paper presents DF-CAPTCHA, an active defense against real-time deepfake impersonation in voice and video calls.Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology
Clinical electroencephalography (EEG) data are valuable for healthcare research and for developing artificial intelligence (AI)-based clinical decision-support systems, but EEG recordings and…Predicting Privacy Leakage from Weight Spectral Density
Membership inference attacks (MIAs) are widely used to audit the privacy disclosure risk of machine learning models, however current state-of-the-art attacks require training computationally…SpecGuard: Inference-Time Backdoor Detection For Free
Large language models are often fine-tuned, shared, or downloaded from third parties, so a deployed model may carry a hidden backdoor that behaves normally on benign inputs but switches to…On Identifying Adversarial Intent Injection in AI-Native 6G Networks
AI-native 6G networks have brought Intent-Based Networking (IBN) to the forefront, enabling high-level goals to be translated into network configurations.An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems
Recommender systems have become core infrastructure for modern online platforms, personalizing content at scale and strongly influencing what users see, click on, and purchase.Arbitrary Cipher Attacks Against Large Language Models Do Not Require Fine-Tuning
Large language model safety and security research is preoccupied with, among other things, detecting and preventing jailbreak attacks: alignment bypasses that allow an adversarial user to elicit…Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks
The digitalisation of electrical distribution networks has increased the exposure of power-grid infrastructure to cyber attacks.Watermarks Without Verification: AI Text Watermarking After the EU AI Act
On August 2, 2026, the obligations of Article 50 of the EU AI Act took effect, requiring generative AI providers to mark the content their systems produce and ensure it can be detected as…Scalable Composition of Byzantine Agreements under Reorder Attacks
Byzantine agreement (BA) is a foundational building block in distributed systems, and the security analysis of BA protocols under multi-instance executions has attracted increasing attention.Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning
Federated learning shares model updates rather than raw data, yet these updates can be inverted to reconstruct the clients' training data.