Minh N. Vu

4 papers · 2019–2025 · 3 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

ICML (2) AAAI (1) IJCAI (1)

Top co-authors

Manish Bhattarai (2) My T. Thai (2) Ben Nebgen (2) Geigh Zollicoffer (2) Boian Alexandrov (2) Huy Mai (1) Xintao Wu (1) Quan Minh Nguyen (1) Juan Castorena (1) Ruoming Jin (1)

Research topics

Machine Learning (4) Artificial Intelligence (2) Deep Learning (2) Application Areas (2) Core AI (2) Optimization & Theory (2) Computer Science (1) Applications (1) Architectures (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

differential privacy (1) adversarial robustness (1) privacy preservation (1) neural network optimization (1) image denoising (1) low-rank approximation (1) persistent homology (1) adversarial attack (1) diffusion model (1) adversarial defense (1) adversarial purification (1) privacy budget (1) model utility (1) gaussian mechanism (1) local differential privacy (1) membership inference attack (1) tucker decomposition (1) fully connected layer (1) self-attention layer (1) maximum mean discrepancy tests (1)

Papers

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models ICML 2025 Topological Signatures of Adversaries in Multimodal Alignments ICML 2025 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019