Haibo Hu
15 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36) π£ Hot Topic Early Bird π€ Dynamic Duo (12)
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(2)
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Top co-authors
Research topics
Artificial Intelligence
(13)
Machine Learning
(12)
Core AI
(11)
Application Areas
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(4)
Optimization & Theory
(4)
Security & Privacy
(3)
Models
(3)
Privacy
(3)
Computer Vision
(2)
Analysis
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
membership inference
(3)
model extraction
(3)
large language model
(3)
privacy attack
(2)
low-rank adaptation
(2)
contrastive learning
(2)
machine unlearning
(2)
trajectory prediction
(2)
knowledge distillation
(2)
autonomous driving
(2)
motion forecasting
(2)
data poisoning
(1)
autoregressive transformer
(1)
transfer learning
(1)
adversarial robustness
(1)
stochastic optimization
(1)
semi-supervised learning
(1)
adversarial learning
(1)
model extraction attack
(1)
preference learning
(1)
Papers
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
AAAI 2026
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
AAAI 2026
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
AAAI 2026
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
CVPR 2026
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
AAAI 2026
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
AAAI 2025
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
ICML 2025
Exploring Intrinsic Alignments Within Text Corpus
AAAI 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
CVPR 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
EMNLP 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
ICCV 2025
βYes, My LoRD.β Guiding Language Model Extraction with Locality Reinforced Distillation
ACL 2025
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
NeurIPS 2024
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
NeurIPS 2022