:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gan, Yuyou, Yang, Yong, Ma, Zhe, He, Ping, Zeng, Rui, Wang, Yiming, Li, Qingming, Zhou, Chunyi, Li, Songze, Wang, Ting, Gao, Yunjun, Wu, Yingcai, Ji, Shouling
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.09523
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Security Risks of Federated Learning in the Wild: From Research to Practice
by: Chen, Jiahao, et al.
Published: (2026)

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing
by: Chen, Jiahao, et al.
Published: (2025)

Enhancing Adversarial Transferability with Adversarial Weight Tuning
by: Chen, Jiahao, et al.
Published: (2024)

CAMH: Advancing Model Hijacking Attack in Machine Learning
by: He, Xing, et al.
Published: (2024)

On the Security Risks of ML-based Malware Detection Systems: A Survey
by: He, Ping, et al.
Published: (2025)

NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models
by: Zhang, Chuhan, et al.
Published: (2025)

Enkidu: Universal Frequential Perturbation for Real-Time Audio Privacy Protection against Voice Deepfakes
by: Feng, Zhou, et al.
Published: (2025)

AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models
by: Wang, Yiming, et al.
Published: (2024)

Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents
by: Chen, Jiahao, et al.
Published: (2026)

FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
by: Wang, Li, et al.
Published: (2025)

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
by: An, Hengyu, et al.
Published: (2025)

Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
by: Wang, Yiming, et al.
Published: (2026)

Contextual and Seasonal LSTMs for Time Series Anomaly Detection
by: Zhang, Lingpei, et al.
Published: (2026)

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
by: Ma, Oubo, et al.
Published: (2025)

Dullahan: Stealthy Backdoor Attack against Without-Label-Sharing Split Learning
by: Pu, Yuwen, et al.
Published: (2024)

Mellivora Capensis: A Backdoor-Free Training Framework on the Poisoned Dataset without Auxiliary Data
by: Pu, Yuwen, et al.
Published: (2024)

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
by: Xu, Naen, et al.
Published: (2025)

Security Analysis of ChatGPT: Threats and Privacy Risks
by: Xiang, Yushan, et al.
Published: (2025)

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
by: Xie, Jin, et al.
Published: (2025)

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

Synthetic Voices, Real Threats: Evaluating Large Text-to-Speech Models in Generating Harmful Audio
by: Chen, Guangke, et al.
Published: (2025)

StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation
by: Zheng, Huawei, et al.
Published: (2026)

Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning
by: Ma, Oubo, et al.
Published: (2026)

Attributing and Exploiting Safety Vectors through Global Optimization in Large Language Models
by: Chu, Fengheng, et al.
Published: (2026)

An Inversion-based Measure of Memorization for Diffusion Models
by: Ma, Zhe, et al.
Published: (2024)

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective
by: Chen, Jiahao, et al.
Published: (2024)

PRSA: Prompt Stealing Attacks against Real-World Prompt Services
by: Yang, Yong, et al.
Published: (2024)

SecurePay: Enabling Secure and Fast Payment Processing for Platform Economy
by: Lin, Junru, et al.
Published: (2025)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models
by: Li, Changjiang, et al.
Published: (2024)

Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
by: Wang, Shang, et al.
Published: (2024)

Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors
by: Yin, Rui, et al.
Published: (2026)

The Ethics of Interaction: Mitigating Security Threats in LLMs
by: Kumar, Ashutosh, et al.
Published: (2024)

BiAxisAudit: A Novel Framework to Evaluate LLM Bias Across Prompt Sensitivity and Response-Layer Divergence
by: Gan, Jialing, et al.
Published: (2026)

CIBER: A Comprehensive Benchmark for Security Evaluation of Code Interpreter Agents
by: Ba, Lei, et al.
Published: (2026)

Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
by: Wei, Kang, et al.
Published: (2025)

VModA: An Effective Framework for Adaptive NSFW Image Moderation
by: Bao, Han, et al.
Published: (2025)

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026)

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems
by: Ma, Oubo, et al.
Published: (2024)

LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge
by: Li, Songze, et al.
Published: (2025)