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← Authors

mingyan liu

17 papers · 2017–2024 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏆 Grand Slam 🗃️ Keyword Collector (69) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (17) 🔥 Unstoppable (8) ❓ The Questioner (2)

Conferences

NIPS (4) ICLR (3) AAAI (2) ICCV (2) ICML (2) IJCAI (2) CVPR (1) ECCV (1)

Top co-authors

Bo Li (8) Chaowei Xiao (8) Yang Liu (5) Xueru Zhang (5) Dawn Song (5) Kun Jin (4) Tongxin Yin (3) Jun-Yan Zhu (2) Warren He (2) Ruizhi Deng (2)

Keywords

adversarial example (3) algorithmic fairness (2) adversarial attack (2) markov decision process (2) online learning (2) game theory (2) long-term fairness (2) fairness constraint (2) adversarial robustness (2) equilibrium analysis (2) human pose estimation (1) privacy preservation (1) convergence analysis (1) community detection (1) reinforcement learning (1) sequential decision making (1) edge detection (1) model robustness (1) nash equilibrium (1) object detection (1)

Papers

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024 Fair Classifiers that Abstain without Harm ICLR 2024 DensePure: Understanding Diffusion Models for Adversarial Robustness ICLR 2023 Long-Term Fairness with Unknown Dynamics NIPS 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? NIPS 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NIPS 2020 Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NIPS 2019 MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019 AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos ICCV 2019 Spatially Transformed Adversarial Examples ICLR 2018 Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018 Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation ECCV 2018 Generating Adversarial Examples with Adversarial Networks IJCAI 2018 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017