Jian Lou
21 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (12)
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Academic Marathon
(10)
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Cross-Pollinator
(12)
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(74)
π
Century Club
(20)
β‘
Prolific Year
(6)
Conferences
IJCAI (4)
AAAI (3)
ICCV (3)
ICML (3)
NIPS (3)
ACL (1)
ACML (1)
CVPR (1)
EMNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
adversarial training
(4)
differential privacy
(3)
adversarial robustness
(3)
stochastic optimization
(3)
machine unlearning
(3)
adversarial learning
(2)
representation learning
(2)
safety alignment
(2)
certified robustness
(2)
information bottleneck
(1)
text classification
(1)
natural language processing
(1)
embedding space
(1)
object detection
(1)
transfer learning
(1)
text summarization
(1)
text generation
(1)
direct preference optimization
(1)
model robustness
(1)
nonconvex optimization
(1)
Papers
Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability
AAAI 2026
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
EMNLP 2025
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
IJCAI 2025
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
ICML 2025
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
ICML 2025
Donβt Say No: Jailbreaking LLM by Suppressing Refusal
ACL 2025
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
ICML 2025
Rapid Plug-in Defenders
NIPS 2024
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity
AAAI 2024
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
CVPR 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
AAAI 2024
MUter: Machine Unlearning on Adversarially Trained Models
ICCV 2023
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
NIPS 2023
CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation
NIPS 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
ICCV 2023
Private Stochastic Non-convex Optimization with Improved Utility Rates
IJCAI 2021
Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks
ICCV 2021
Certified Robustness to Word Substitution Attack with Differential Privacy
NAACL 2021
Equilibrium Analysis of Multi-Defender Security Games
IJCAI 2015
Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization
IJCAI 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization
ACML 2015