Fatih Ilhan

According to our database, Fatih Ilhan authored at least 45 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Personalized Face Privacy Protection From a Single Image.

Zachary Yahn, Fatih Ilhan, Tiansheng Huang, Selim F. Tekin, Sihao Hu, Yichang Xu, Margaret Loper, Ling Liu

CoRR, May, 2026

Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why.

Mohammadreza Armandpour, Fatih Ilhan, David Harrison, Ajay Jaiswal, Duc N. M. Hoang, Fartash Faghri, Yizhe Zhang, Minsik Cho, Mehrdad Farajtabar

CoRR, May, 2026

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding.

Fatih Ilhan, Gaowen Liu, Ramana Rao Kompella, Selim Furkan Tekin, Tiansheng Huang, Zachary Yahn, Yichang Xu, Ling Liu

CoRR, March, 2026

A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning.

Yichang Xu, Gaowen Liu, Ramana Rao Kompella, Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Ling Liu

CoRR, March, 2026

Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Greg Eisenhauer, Margaret L. Loper, Ling Liu

ACM Trans. Intell. Syst. Technol., February, 2026

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs.

Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Zachary Yahn, Ling Liu

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Margaret Loper, Ling Liu

ACM Trans. Intell. Syst. Technol., October, 2025

FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients.

Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu

CoRR, October, 2025

Language-Vision Planner and Executor for Text-to-Visual Reasoning.

Yichang Xu, Gaowen Liu, Ramana Rao Kompella, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Ling Liu

CoRR, June, 2025

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Yichang Xu, Ling Liu

CoRR, March, 2025

Multi-Agent Reinforcement Learning with Focal Diversity Optimization.

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Zachary Yahn, Ling Liu

CoRR, February, 2025

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation.

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

CoRR, January, 2025

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation.

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adversarial Attention Perturbations for Large Object Detection Transformers.

Zachary Yahn, Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Margaret Loper, Ling Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FedHFT: Efficient Federated Fine-tuning with Heterogeneous Edge Clients.

Fatih Ilhan, Selim Furkan Tekin, Tiansheng Huang, Gaowen Liu, Ramana Kompella, Greg Eisenhauer, Yingyan Celine Lin, Calton Pu, Ling Liu

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition.

Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu

Proc. Priv. Enhancing Technol., 2024

H³Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs.

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Zachary Yahn, Ling Liu

CoRR, 2024

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey.

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

CoRR, 2024

Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning.

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

CoRR, 2024

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.

Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu

CoRR, 2024

A Survey on Large Language Model-Based Game Agents.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu

CoRR, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.

Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack.

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim F. Tekin, Ling Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity.

Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Resource- Efficient Transformer Pruning for Finetuning of Large Models.

Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Comparison and evaluation of augmented reality technologies for designing interactive materials.

Mustafa Sat, Fatih Ilhan, Erman Yükseltürk

Educ. Inf. Technol., September, 2023

Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments.

Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., February, 2023

EENet: Learning to Early Exit for Adaptive Inference.

Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu

CoRR, 2023

Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems.

Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives.

Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

Proceedings of the 5th IEEE International Conference on Trust, 2023

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training.

Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Cloaking against Gradient Leakage.

Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

Scalable Federated Learning with System Heterogeneity.

Fatih Ilhan, Gong Su, Qingyang Wang, Ling Liu

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients.

Fatih Ilhan, Gong Su, Ling Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection.

Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Achieving Online Regression Performance of LSTMs With Simple RNNs.

Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Salih Ergüt, Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs.

Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat

CoRR, 2021

2020

Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels.

Fatih Ilhan, Suleyman Serdar Kozat

IEEE Trans. Signal Process., 2020

Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks.

Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat

CoRR, 2020

Achieving Online Regression Performance of LSTMs with Simple RNNs.

Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Suleyman Serdar Kozat

CoRR, 2020

Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization.

Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Online Shortest Path Learning via Convex Optimization.

Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm.

Fatih Ilhan, Nuri Mert Vural, Suleyman Serdar Kozat

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Spatio-Temporal Crime Prediction with Temporally Hierarchical Convolutional Neural Networks.

Fatih Ilhan, Selim F. Tekin, Bilgin Aksoy

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Performance Analysis of Semi-Supervised Learning Methods under Different Missing Label Patterns.

Fatih Ilhan, Emre Mumcuoglu

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020