mingyan liu
17 papers · 2017–2024 · 8 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.
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Research topics
Machine Learning
(15)
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Artificial Intelligence
(7)
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(7)
Core AI
(7)
Optimization & Theory
(4)
Deep Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Methods
(2)
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(2)
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(2)
Analysis
(1)
Keywords
adversarial example
(4)
adversarial attack
(3)
adversarial robustness
(3)
algorithmic fairness
(2)
markov decision process
(2)
equilibrium analysis
(2)
online learning
(2)
group fairness
(2)
long-term fairness
(2)
fairness constraint
(2)
game theory
(2)
privacy preservation
(1)
convergence analysis
(1)
human pose estimation
(1)
sequential decision making
(1)
reinforcement learning
(1)
model robustness
(1)
nash equilibrium
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object detection
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certified robustness
(1)
Papers
Fair Classifiers that Abstain without Harm
ICLR 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
AAAI 2024
DensePure: Understanding Diffusion Models for Adversarial Robustness
ICLR 2023
Long-Term Fairness with Unknown Dynamics
NeurIPS 2023
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
ICML 2022
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?
ICCV 2021
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
AAAI 2021
How do fair decisions fare in long-term qualification?
NeurIPS 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
NeurIPS 2020
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos
ICCV 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
NeurIPS 2019
MeshAdv: Adversarial Meshes for Visual Recognition
CVPR 2019
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
ECCV 2018
Generating Adversarial Examples with Adversarial Networks
IJCAI 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
ICML 2018
Spatially Transformed Adversarial Examples
ICLR 2018
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data
IJCAI 2017