:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meftah, Hanene F. Z. Brachemi, Hamidouche, Wassim, Fezza, Sid Ahmed, Deforges, Olivier
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.04963
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)

Energy Backdoor Attack to Deep Neural Networks
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)

AdaDoS: Adaptive DoS Attack via Deep Adversarial Reinforcement Learning in SDN
by: Shao, Wei, et al.
Published: (2025)

RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)

Cascade: Composing Software-Hardware Attack Gadgets for Adversarial Threat Amplification in Compound AI Systems
by: Banerjee, Sarbartha, et al.
Published: (2026)

Adversarial Machine Learning Threats to Spacecraft
by: Thummala, Rajiv, et al.
Published: (2024)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey
by: Liu, Ziyao, et al.
Published: (2024)

Adversarial Machine Learning: Attacks, Defenses, and Open Challenges
by: Jha, Pranav K
Published: (2025)

A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2024)

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
by: Li, Xingyu, et al.
Published: (2025)

DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs
by: Zhou, Ranyang, et al.
Published: (2023)

Rethinking Latency Denial-of-Service: Attacking the LLM Serving Framework, Not the Model
by: Wang, Tianyi, et al.
Published: (2026)

Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
by: Ndayipfukamiye, Tharcisse, et al.
Published: (2025)

ATAG: AI-Agent Application Threat Assessment with Attack Graphs
by: Gandhi, Parth Atulbhai, et al.
Published: (2025)

The Hidden Threat in Plain Text: Attacking RAG Data Loaders
by: Castagnaro, Alberto, et al.
Published: (2025)

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
by: Arzanipour, Atousa, et al.
Published: (2025)

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
by: Domico, Kyle, et al.
Published: (2025)

A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel Attacks
by: Coqueret, Benoit, et al.
Published: (2024)

Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing
by: Gibert, Daniel, et al.
Published: (2023)

Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems
by: Ward, Chris M., et al.
Published: (2025)

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
by: Shi, Yichuan, et al.
Published: (2024)

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

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
by: Ma, Jiachen, et al.
Published: (2024)

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations
by: Zhou, Yihe, et al.
Published: (2025)

DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
by: Kang, Mintong, et al.
Published: (2023)

TT-SEAL: TTD-Aware Selective Encryption for Adversarially-Robust and Low-Latency Edge AI
by: Min, Kyeongpil, et al.
Published: (2026)

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
by: Hitaj, Dorjan, et al.
Published: (2024)

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing
by: Eghtesad, Taha, et al.
Published: (2026)

Adversarial Attacks Against Automated Fact-Checking: A Survey
by: Liu, Fanzhen, et al.
Published: (2025)

Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
by: Chang, Jung-Woo, et al.
Published: (2023)

WIPI: A New Web Threat for LLM-Driven Web Agents
by: Wu, Fangzhou, et al.
Published: (2024)

Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
by: Guo, Zhongliang, et al.
Published: (2025)

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
by: Anagnostopoulos, Christos, et al.
Published: (2025)

Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey
by: Jain, Bhavuk, et al.
Published: (2026)

Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
by: Guo, Pengxin, et al.
Published: (2025)

Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)

Attention Masks Help Adversarial Attacks to Bypass Safety Detectors
by: Shi, Yunfan
Published: (2024)

Special-Character Adversarial Attacks on Open-Source Language Model
by: Sarabamoun, Ephraiem
Published: (2025)

Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
by: Mia, Maraz, et al.
Published: (2025)

A General Black-box Adversarial Attack on Graph-based Fake News Detectors
by: Zhu, Peican, et al.
Published: (2024)