From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Ziang, Zhang, Hongguang, Wang, Juan, Chen, Meihui, Hu, Hongxin, Yi, Wenzhe, Xu, Xiaoyang, Yang, Mengda, Ma, Chenjun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
by: Xu, Xiaoyang, et al.
Published: (2024)
by: Xu, Xiaoyang, et al.
Published: (2024)
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
by: He, Yu, et al.
Published: (2024)
by: He, Yu, et al.
Published: (2024)
Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
by: Chen, Zeyuan, et al.
Published: (2026)
by: Chen, Zeyuan, et al.
Published: (2026)
Query Provenance Analysis: Efficient and Robust Defense against Query-based Black-box Attacks
by: Li, Shaofei, et al.
Published: (2024)
by: Li, Shaofei, et al.
Published: (2024)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)
by: Hu, Ruihan, et al.
Published: (2026)
MIRAGE: Misleading Retrieval-Augmented Generation via Black-box and Query-agnostic Poisoning Attacks
by: Chen, Tailun, et al.
Published: (2025)
by: Chen, Tailun, et al.
Published: (2025)
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
by: Zheng, Meixi, et al.
Published: (2023)
by: Zheng, Meixi, et al.
Published: (2023)
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, et al.
Published: (2023)
RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
by: Chen, Xuan, et al.
Published: (2024)
by: Chen, Xuan, et al.
Published: (2024)
Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
by: Park, Jeonghwan, et al.
Published: (2025)
by: Park, Jeonghwan, et al.
Published: (2025)
BETA: Automated Black-box Exploration for Timing Attacks in Processors
by: Chen, Congcong, et al.
Published: (2024)
by: Chen, Congcong, et al.
Published: (2024)
Dynamic Black-box Backdoor Attacks on IoT Sensory Data
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)
MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
by: Hua, Jiayi, et al.
Published: (2024)
by: Hua, Jiayi, et al.
Published: (2024)
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
by: Gao, Yue, et al.
Published: (2023)
by: Gao, Yue, et al.
Published: (2023)
Select Me! When You Need a Tool: A Black-box Text Attack on Tool Selection
by: Chen, Liuji, et al.
Published: (2025)
by: Chen, Liuji, et al.
Published: (2025)
BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
by: Wu, Zhengxian, et al.
Published: (2025)
by: Wu, Zhengxian, et al.
Published: (2025)
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments
by: Li, Jianhui, et al.
Published: (2024)
by: Li, Jianhui, et al.
Published: (2024)
SEW: Strengthening Robustness of Black-box DNN Watermarking via Specificity Enhancement
by: Qiu, Huming, et al.
Published: (2026)
by: Qiu, Huming, et al.
Published: (2026)
Defending Against Neural Network Model Inversion Attacks via Data Poisoning
by: Zhou, Shuai, et al.
Published: (2024)
by: Zhou, Shuai, et al.
Published: (2024)
Performance-lossless Black-box Model Watermarking
by: Zhao, Na, et al.
Published: (2023)
by: Zhao, Na, et al.
Published: (2023)
EmbTracker: Traceable Black-box Watermarking for Federated Language Models
by: Zhao, Haodong, et al.
Published: (2026)
by: Zhao, Haodong, et al.
Published: (2026)
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
by: Hu, Hongsheng, et al.
Published: (2024)
by: Hu, Hongsheng, et al.
Published: (2024)
Traceable Black-box Watermarks for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)
by: Xu, Jiahao, et al.
Published: (2025)
A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild
by: Ling, Xiang, et al.
Published: (2024)
by: Ling, Xiang, et al.
Published: (2024)
Conditional Cube Attack on Round-Reduced ASCON
by: Li, Zheng, et al.
Published: (2025)
by: Li, Zheng, et al.
Published: (2025)
Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
by: Wang, Wenqiang, et al.
Published: (2025)
by: Wang, Wenqiang, et al.
Published: (2025)
White-box Membership Inference Attacks against Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, et al.
Published: (2023)
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning
by: Bao, Huan, et al.
Published: (2024)
by: Bao, Huan, et al.
Published: (2024)
BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated Learning
by: Rodríguez-Lois, Elena, et al.
Published: (2026)
by: Rodríguez-Lois, Elena, et al.
Published: (2026)
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
by: Na, CheolWon, et al.
Published: (2025)
by: Na, CheolWon, et al.
Published: (2025)
A Generative Approach to Surrogate-based Black-box Attacks
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
Delving into Decision-based Black-box Attacks on Semantic Segmentation
by: Chen, Zhaoyu, et al.
Published: (2024)
by: Chen, Zhaoyu, et al.
Published: (2024)
Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
by: Hong, Wenjing, et al.
Published: (2026)
by: Hong, Wenjing, et al.
Published: (2026)
AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents
by: Li, Yanjie, et al.
Published: (2025)
by: Li, Yanjie, et al.
Published: (2025)
FBA$^2$D: Frequency-based Black-box Attack for AI-generated Image Detection
by: Chen, Xiaojing, et al.
Published: (2025)
by: Chen, Xiaojing, et al.
Published: (2025)
DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual Entropy Lull Pattern
by: Pang, Xiaoyi, et al.
Published: (2026)
by: Pang, Xiaoyi, et al.
Published: (2026)
Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks
by: Eltaras, Tamer Ahmed, et al.
Published: (2025)
by: Eltaras, Tamer Ahmed, et al.
Published: (2025)
Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
by: Yao, Lingfeng, et al.
Published: (2026)
by: Yao, Lingfeng, et al.
Published: (2026)
The Efficacy of Transfer-based No-box Attacks on Image Watermarking: A Pragmatic Analysis
by: Wu, Qilong, et al.
Published: (2024)
by: Wu, Qilong, et al.
Published: (2024)
KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs
by: Liu, Shuyuan, et al.
Published: (2025)
by: Liu, Shuyuan, et al.
Published: (2025)
Similar Items
-
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
by: Xu, Xiaoyang, et al.
Published: (2024) -
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
by: He, Yu, et al.
Published: (2024) -
Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
by: Chen, Zeyuan, et al.
Published: (2026) -
Query Provenance Analysis: Efficient and Robust Defense against Query-based Black-box Attacks
by: Li, Shaofei, et al.
Published: (2024) -
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)