Qingqing Ye
12 papers · 2022–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (12)
β‘
Prolific Year Β· Productive
β
The Questioner
(2)
π
Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(10)
Core AI
(9)
Application Areas
(6)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Security & Privacy
(3)
Models
(3)
Optimization & Theory
(3)
Privacy
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Natural Language Processing
(1)
Keywords
large language model
(3)
membership inference
(3)
model extraction
(3)
contrastive learning
(2)
low-rank adaptation
(2)
privacy attack
(2)
knowledge distillation
(2)
machine unlearning
(2)
benchmark evaluation
(1)
robustness
(1)
continual learning
(1)
policy gradient
(1)
backdoor defense
(1)
preference learning
(1)
model extraction attack
(1)
transfer learning
(1)
intellectual property
(1)
data poisoning
(1)
category discovery
(1)
semi-supervised 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
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
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
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
NeurIPS 2022