Saved in:
| Main Authors: | Chen, Hanlin, Chen, Simin, Li, Wenyu, Yang, Wei, Feng, Yiheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.03850 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Dasgupta, Sagar, et al.
Published: (2024)
by: Dasgupta, Sagar, et al.
Published: (2024)
Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
by: Anagnostopoulos, Christos, et al.
Published: (2025)
by: Anagnostopoulos, Christos, et al.
Published: (2025)
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
by: Wu, Yixin, et al.
Published: (2025)
by: Wu, Yixin, et al.
Published: (2025)
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)
by: Li, Yuying, et al.
Published: (2024)
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
by: Song, Ruoyu, et al.
Published: (2024)
by: Song, Ruoyu, et al.
Published: (2024)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, et al.
Published: (2025)
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
by: Zhou, Andy, et al.
Published: (2025)
by: Zhou, Andy, et al.
Published: (2025)
Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)
by: Tong, Meng, et al.
Published: (2025)
GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
by: Mohammadi, Ahmad, et al.
Published: (2025)
by: Mohammadi, Ahmad, et al.
Published: (2025)
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles
by: Shit, Rathin Chandra, et al.
Published: (2025)
by: Shit, Rathin Chandra, et al.
Published: (2025)
Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
by: Chen, Linzhi, et al.
Published: (2025)
by: Chen, Linzhi, et al.
Published: (2025)
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
by: Yin, Jinhua, et al.
Published: (2025)
by: Yin, Jinhua, et al.
Published: (2025)
Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning
by: Zhang, Xiaojin, et al.
Published: (2025)
by: Zhang, Xiaojin, et al.
Published: (2025)
Membership Inference Attacks on Recommender System: A Survey
by: He, Jiajie, et al.
Published: (2025)
by: He, Jiajie, et al.
Published: (2025)
ICON: Indirect Prompt Injection Defense for Agents based on Inference-Time Correction
by: Wang, Che, et al.
Published: (2026)
by: Wang, Che, et al.
Published: (2026)
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles
by: Kim, Junae, et al.
Published: (2024)
by: Kim, Junae, et al.
Published: (2024)
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator
by: Martinez, Yago Romano, et al.
Published: (2025)
by: Martinez, Yago Romano, et al.
Published: (2025)
Security and Resilience in Autonomous Vehicles: A Proactive Design Approach
by: Tsai, Chieh, et al.
Published: (2026)
by: Tsai, Chieh, et al.
Published: (2026)
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)
by: Zhang, Kaiyuan, et al.
Published: (2025)
No Attack Required: Semantic Fuzzing for Specification Violations in Agent Skills
by: Li, Ying, et al.
Published: (2026)
by: Li, Ying, et al.
Published: (2026)
LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks
by: Happe, Andreas, et al.
Published: (2023)
by: Happe, Andreas, et al.
Published: (2023)
AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines
by: Li, Tingxi, et al.
Published: (2026)
by: Li, Tingxi, et al.
Published: (2026)
Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
by: Lin, Chenhao, et al.
Published: (2025)
by: Lin, Chenhao, et al.
Published: (2025)
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
by: Muktar, Bappa, et al.
Published: (2025)
by: Muktar, Bappa, et al.
Published: (2025)
Mitigating Many-shot Jailbreak Attacks with One Single Demonstration
by: Chen, Kejia, et al.
Published: (2026)
by: Chen, Kejia, et al.
Published: (2026)
No Free Lunch Theorem for Privacy-Preserving LLM Inference
by: Zhang, Xiaojin, et al.
Published: (2024)
by: Zhang, Xiaojin, et al.
Published: (2024)
CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning
by: Li, Jiaxin, et al.
Published: (2024)
by: Li, Jiaxin, et al.
Published: (2024)
Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering
by: Lyu, Xingyu, et al.
Published: (2025)
by: Lyu, Xingyu, et al.
Published: (2025)
FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
by: S, Devika, et al.
Published: (2025)
by: S, Devika, et al.
Published: (2025)
Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
by: Balashov, Andrii, et al.
Published: (2025)
by: Balashov, Andrii, et al.
Published: (2025)
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
Backdoor Attack with Invisible Triggers Based on Model Architecture Modification
by: Ma, Yuan, et al.
Published: (2024)
by: Ma, Yuan, et al.
Published: (2024)
StruPhantom: Evolutionary Injection Attacks on Black-Box Tabular Agents Powered by Large Language Models
by: Feng, Yang, et al.
Published: (2025)
by: Feng, Yang, et al.
Published: (2025)
Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats
by: Deng, Xinhao, et al.
Published: (2026)
by: Deng, Xinhao, et al.
Published: (2026)
BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models
by: Yan, Xiaobei, et al.
Published: (2025)
by: Yan, Xiaobei, et al.
Published: (2025)
Hijacking Agent Memory: Stealthy Trojan Attacks Through Conversational Interaction
by: Wang, Hongtao, et al.
Published: (2026)
by: Wang, Hongtao, et al.
Published: (2026)
AdapTools: Adaptive Tool-based Indirect Prompt Injection Attacks on Agentic LLMs
by: Wang, Che, et al.
Published: (2026)
by: Wang, Che, et al.
Published: (2026)
Membership Inference Attack with Partial Features
by: Wang, Xurun, et al.
Published: (2025)
by: Wang, Xurun, et al.
Published: (2025)
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
by: Belfiore, Asia, et al.
Published: (2025)
by: Belfiore, Asia, et al.
Published: (2025)
Similar Items
-
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Dasgupta, Sagar, et al.
Published: (2024) -
Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
by: Anagnostopoulos, Christos, et al.
Published: (2025) -
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
by: Wu, Yixin, et al.
Published: (2025) -
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024) -
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
by: Song, Ruoyu, et al.
Published: (2024)