:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Truong, Vu Tuan, Dang, Luan Ba, Le, Long Bao
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2408.03400
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models
by: Truong, Vu Tuan, et al.
Published: (2026)

Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
by: Yichao, Wu, et al.
Published: (2025)

A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)

A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments
by: Zhao, Kaixiang, et al.
Published: (2025)

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey
by: Huang, Tiansheng, et al.
Published: (2024)

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives
by: Zhao, Kaixiang, et al.
Published: (2025)

Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)

Attacks and Defenses Against LLM Fingerprinting
by: Kurian, Kevin, et al.
Published: (2025)

A Causal Perspective for Enhancing Jailbreak Attack and Defense
by: Pan, Licheng, et al.
Published: (2026)

Optimal Defenses Against Gradient Reconstruction Attacks
by: Chen, Yuxiao, et al.
Published: (2024)

Stealthy Poisoning Attacks Bypass Defenses in Regression Settings
by: Carnerero-Cano, Javier, et al.
Published: (2026)

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning
by: Zhang, Heyi, et al.
Published: (2025)

Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
by: Pawlak, Stanisław, et al.
Published: (2025)

Semantic Chameleon: Corpus-Dependent Poisoning Attacks and Defenses in RAG Systems
by: Thornton, Scott
Published: (2026)

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
by: Panebianco, Francesco, et al.
Published: (2025)

A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
by: Yu, Lei, et al.
Published: (2024)

Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning
by: Obioma, Chibueze Peace, et al.
Published: (2025)

The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey
by: Kim, Juhee, et al.
Published: (2026)

MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation
by: Jiang, Weisen, et al.
Published: (2025)

Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024)

Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
by: Nguyen, Thanh Tam, et al.
Published: (2024)

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023)

Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification
by: B, Aravind, et al.
Published: (2026)

AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
by: Wang, Zhenyi, et al.
Published: (2026)

A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data
by: Lotfi, Zahra, et al.
Published: (2025)

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
by: Vu, Minh, et al.
Published: (2024)

PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
by: Bhat, Sunay, et al.
Published: (2024)

Thought Purity: A Defense Framework For Chain-of-Thought Attack
by: Xue, Zihao, et al.
Published: (2025)

UIFV: Data Reconstruction Attack in Vertical Federated Learning
by: Yang, Jirui, et al.
Published: (2024)

RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
by: Liu, Mingrui, et al.
Published: (2026)

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
by: Zhang, Guangsheng, et al.
Published: (2022)

Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025)

Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
by: Junhao, Wei, et al.
Published: (2025)

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
by: Zollicoffer, Geigh, et al.
Published: (2024)

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
by: Jaffal, Niveen O., et al.
Published: (2025)

Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
by: Dinh, Phai Vu, et al.
Published: (2024)

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
by: Aguilera-Martínez, Francisco, et al.
Published: (2025)

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval
by: Chen, Taiye, et al.
Published: (2025)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
by: Zhao, Shuai, et al.
Published: (2024)