:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Zihao, Lu, Hongyi, Guo, Yanan, Zhang, Zhenkai, Wang, Shuai, Zhang, Fengwei
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2602.10478
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ClawLess: A Security Model of AI Agents
by: Lu, Hongyi, et al.
Published: (2026)

Spin: An Efficient Secure Computation Framework with GPU Acceleration
by: Jiang, Wuxuan, et al.
Published: (2024)

AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
by: Zhang, Yi, et al.
Published: (2025)

NASimJax: GPU-Accelerated Policy Learning Framework for Penetration Testing
by: Simon, Raphael, et al.
Published: (2026)

Unraveling the Key of Machine Learning-based Android Malware Detection
by: Liu, Jiahao, et al.
Published: (2024)

MOAT: Towards Safe BPF Kernel Extension
by: Lu, Hongyi, et al.
Published: (2023)

Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
by: Dong, Yingkai, et al.
Published: (2024)

Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
by: Chen, Wenyu, et al.
Published: (2026)

Inference Privacy: Properties and Mechanisms
by: Tian, Fengwei, et al.
Published: (2024)

deepSURF: Detecting Memory Safety Vulnerabilities in Rust Through Fuzzing LLM-Augmented Harnesses
by: Androutsopoulos, Georgios, et al.
Published: (2025)

Challenges and Design Considerations for Finding CUDA Bugs Through GPU-Native Fuzzing
by: Li, Mingkai, et al.
Published: (2026)

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
by: Qiu, Han, et al.
Published: (2020)

SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning
by: Partohaghighi, Mohammad, et al.
Published: (2026)

Real-PGDN: A Two-level Classification Method for Full-Process Recognition of Newly Registered Pornographic and Gambling Domain Names
by: Wang, Hao, et al.
Published: (2025)

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
by: Sheng, Leheng, et al.
Published: (2025)

FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework
by: Cai, Jinyu, et al.
Published: (2024)

Fuzzing the PHP Interpreter via Dataflow Fusion
by: Jiang, Yuancheng, et al.
Published: (2024)

Mitigating Error Amplification in Fast Adversarial Training
by: Zhao, Mengnan, et al.
Published: (2026)

Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
by: Zhang, Yiwei, et al.
Published: (2025)

TAPAS: Datasets for Learning the Learning with Errors Problem
by: Saxena, Eshika, et al.
Published: (2025)

SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
by: Wang, Weiqi, et al.
Published: (2025)

A New Federated Learning Framework Against Gradient Inversion Attacks
by: Guo, Pengxin, et al.
Published: (2024)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
by: Wu, Baoyuan, et al.
Published: (2024)

Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift
by: Yuan, Shuai, et al.
Published: (2025)

A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
by: Li, Xiang, et al.
Published: (2025)

FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
by: Xiao, Chenguang, et al.
Published: (2024)

Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
by: Zhang, Ruihan, et al.
Published: (2024)

CNN architecture extraction on edge GPU
by: Horvath, Peter, et al.
Published: (2024)

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
by: Zhang, Mingxuan, et al.
Published: (2025)

Quantifying Policy Administration Cost in an Active Learning Framework
by: Zhang, Si, et al.
Published: (2023)

A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning
by: Li, Pengfei, et al.
Published: (2023)

Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
by: Stevens, Samuel, et al.
Published: (2024)

MUBox: A Critical Evaluation Framework of Deep Machine Unlearning
by: Li, Xiang, et al.
Published: (2025)

Transfer Learning for Security: Challenges and Future Directions
by: Li, Adrian Shuai, et al.
Published: (2024)

TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
by: Goel, Aman, et al.
Published: (2025)

MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
by: Ou, Shiwen, et al.
Published: (2025)

Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
by: Zhang, Yiwei, et al.
Published: (2024)

Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
by: Zhang, Xinwei, et al.
Published: (2023)

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
by: Wu, Baoyuan, et al.
Published: (2023)

Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
by: Noorbakhsh, Sayedeh Leila, et al.
Published: (2024)