Qingqing Ye
11 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (26) π Conference Polyglot (6) π Renaissance Researcher (6) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(6)
π
Renaissance Researcher
(6)
π€
Dynamic Duo
(11)
β‘
Prolific Year
(7)
β
The Questioner
π
Century Club
(11)
Conferences
AAAI (5)
ICCV (2)
ACL (1)
EMNLP (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
membership inference
(3)
model extraction
(3)
contrastive learning
(2)
machine unlearning
(2)
large language model
(2)
knowledge distillation
(2)
privacy attack
(2)
benchmark evaluation
(1)
continual learning
(1)
model extraction attack
(1)
policy gradient
(1)
backdoor defense
(1)
preference learning
(1)
transfer learning
(1)
query efficiency
(1)
data poisoning
(1)
intellectual property
(1)
semi-supervised learning
(1)
category discovery
(1)
privacy preservation
(1)
Papers
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
AAAI 2026
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
AAAI 2026
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
AAAI 2026
βYes, My LoRD.β Guiding Language Model Extraction with Locality Reinforced Distillation
ACL 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
EMNLP 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
ICML 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
ICCV 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
AAAI 2025
Exploring Intrinsic Alignments Within Text Corpus
AAAI 2025
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
NIPS 2022