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← Authors

Aleksandar Bojchevski

25 papers · 2018–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (10) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6)
🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🤝 Dynamic Duo (15) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (10) 🚀 Conference Pioneer ⚡ Prolific Year (7) 🔥 Unstoppable (8) ❓ The Questioner (2) 💎 Century Club (25) 🗃️ Keyword Collector (68)

Conferences

ICLR (9) NIPS (7) ICML (5) AISTATS (2) AAAI (1) EMNLP (1)

Top co-authors

Stephan Günnemann (15) Jan Schuchardt (5) Mohammad Sadegh Akhondzadeh (4) Simon Geisler (4) Soroush H. Zargarbashi (4) Johannes Gasteiger (3) Vijay Lingam (3) Daniel Zügner (2) Yihan Wu (2) Yan Scholten (2)

Keywords

graph neural network (9) adversarial robustness (5) adversarial attack (4) randomized smoothing (4) certified robustness (2) message passing (2) graph perturbation (2) node classification (2) random walk (2) neural network (2) adversarial training (1) graph generation (1) knowledge distillation (1) link prediction (1) model quantization (1) attention mechanism (1) uncertainty quantification (1) representation learning (1) curse of dimensionality (1) weisfeiler-lehman test (1)

Papers

Robust Conformal Prediction with a Single Binary Certificate ICLR 2025 KurTail : Kurtosis-based LLM Quantization EMNLP 2025 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NIPS 2024 Rethinking Label Poisoning for GNNs: Pitfalls and Attacks ICLR 2024 Robust Yet Efficient Conformal Prediction Sets ICML 2024 Conformal Inductive Graph Neural Networks ICLR 2024 Localized Randomized Smoothing for Collective Robustness Certification ICLR 2023 Probing Graph Representations AISTATS 2023 Conformal Prediction Sets for Graph Neural Networks ICML 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023 Are GATs Out of Balance? NIPS 2023 Unveiling the sampling density in non-uniform geometric graphs ICLR 2023 Hierarchical Randomized Smoothing NIPS 2023 Are Defenses for Graph Neural Networks Robust? NIPS 2022 Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks NIPS 2022 Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness ICLR 2022 Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks ICLR 2021 Robustness of Graph Neural Networks at Scale NIPS 2021 Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions AISTATS 2021 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020 Predict then Propagate: Graph Neural Networks meet Personalized PageRank ICLR 2019 Certifiable Robustness to Graph Perturbations NIPS 2019 Adversarial Attacks on Node Embeddings via Graph Poisoning ICML 2019 NetGAN: Generating Graphs via Random Walks ICML 2018 Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking ICLR 2018