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2020 – today
- 2024
[j5]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan
, Wenqi Wei, Ling Liu:
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. 2024(4): 381-392 (2024)- [c14]Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu:
Resource- Efficient Transformer Pruning for Finetuning of Large Models. CVPR 2024: 16206-16215 - [c13]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:
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [i13]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu:
A Survey on Large Language Model-Based Game Agents. CoRR abs/2404.02039 (2024) - [i12]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu:
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. CoRR abs/2404.04434 (2024) - [i11]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR abs/2405.18641 (2024) - [i10]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. CoRR abs/2409.01586 (2024) - [i9]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey. CoRR abs/2409.18169 (2024) - 2023
- [j4]Mustafa Sat, Fatih Ilhan, Erman Yükseltürk:
Comparison and evaluation of augmented reality technologies for designing interactive materials. Educ. Inf. Technol. 28(9): 11545-11567 (2023) - [j3]Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat:
Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. 34(2): 715-728 (2023) - [c12]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR 2023: 16343-16351 - [c11]Fatih Ilhan, Gong Su, Ling Liu:
ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients. CVPR 2023: 24532-24541 - [c10]Fatih Ilhan, Gong Su, Qingyang Wang, Ling Liu:
Scalable Federated Learning with System Heterogeneity. ICDCS 2023: 1037-1040 - [c9]Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu:
Model Cloaking against Gradient Leakage. ICDM 2023: 1403-1408 - [c8]Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu:
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS 2023 - [c7]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. TPS-ISA 2023: 297-306 - [c6]Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu:
Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) 2023: 302-305 - [i8]Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu:
EENet: Learning to Early Exit for Adaptive Inference. CoRR abs/2301.07099 (2023) - [i7]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR abs/2303.11511 (2023) - [i6]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. CoRR abs/2310.01152 (2023) - 2022
- [j2]Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Salih Ergüt, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs With Simple RNNs. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7632-7643 (2022) - 2021
- [i5]Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. CoRR abs/2102.00696 (2021) - 2020
- [j1]Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels. IEEE Trans. Signal Process. 68: 4946-4958 (2020) - [c5]Fatih Ilhan, Emre Mumcuoglu:
Performance Analysis of Semi-Supervised Learning Methods under Different Missing Label Patterns. SIU 2020: 1-4 - [c4]Fatih Ilhan, Selim F. Tekin, Bilgin Aksoy:
Spatio-Temporal Crime Prediction with Temporally Hierarchical Convolutional Neural Networks. SIU 2020: 1-4 - [c3]Fatih Ilhan, Nuri Mert Vural, Suleyman Serdar Kozat:
LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm. SIU 2020: 1-4 - [c2]Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat:
Online Shortest Path Learning via Convex Optimization. SIU 2020: 1-5 - [c1]Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat:
Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization. SIU 2020: 1-5 - [i4]Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels. CoRR abs/2003.03671 (2020) - [i3]Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs with Simple RNNs. CoRR abs/2005.08948 (2020) - [i2]Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. CoRR abs/2005.12005 (2020) - [i1]Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat:
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments. CoRR abs/2006.10119 (2020)
Coauthor Index
aka: Selim Furkan Tekin
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