KDD 2026 - Defending against Model Extraction for GNNs with Model Reprogramming @TheOfficialACM
KDD 2026 - Defending against Model Extraction for GNNs with Model Reprogramming @TheOfficialACM
Uploaded July 2026 | Updated September 2026, 2 weeks ago
Yan Wen, Zhenyi Wang, Heng Huang
KDD 2026 - Defending against Model Extraction for GNNs with Model ReprogrammingCAIS 2026 | Keynote: Percy Liang (Stanford University)Remembering Gordon Bell (Long Version)KDD 2026 - On Model Selection for Time to Event TasksKDD 2026-SOAR: Real-TimeJoint Opti.of Order Allocation andRobot Sched.in Robotic Mobile Fulfill. SysKDD 2026 - A Practical Upper Bound on Selection Bias Effects in Medical Prediction ModelsFrom Voices of ACM W - Episode 1: Audrey Mbogho - ACMs Lack of Presence in AfricaKDD2026: HGenPush: A HeterogeneousGenerative Recomm. Architecture for Industrial Push Notif. SystemsKDD 2026-Estimating Mutual Info between TimeSeries andTemporal Event Seq. AcrossDiverse Analys.TasksKDD 2026 -Eliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal ForecastingKDD2026-Can Fine-Tuning Erase Edits? On the Fragile Coexistence of Knowledge Editing and Fine-tuningKDD 2026 - Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation
Association for Computing Machinery (ACM) |

KDD 2026 - Defending against Model Extraction for GNNs with Model Reprogramming

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