Daniel Takabi - RankMe

47 papers A* 1B 1C 2Journal 29Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BioShield: A Context-Aware Firewall for Securing Bio-LLMs. CoRR Protiva Das, Sovon Chakraborty, Sidhant Narula, Lucas Potter, Xavier-Lewis Palmer, Pratip Rana, Daniel Takabi, Mohammad GhasemiGol
2026	J	`jnl`	DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning. CoRR Nahom Birhan, Daniel Wesego, Dereje Shenkut, Frank Liu, Daniel Takabi
2025	J	`jnl`	BlindTuner: On Enhancement of Privacy-Preserving Fine-Tuning of Transformers Based on Homomorphic Encryption. IEEE Internet Things J. Prajwal Panzade, Javad Rafiei Asl, Daniel Takabi, Zhipeng Cai
2025	—	`conf`	Contrastive Multi-Hop Semantic Communication. MILCOM Yao Wang, Chunyu Hu, Jian Li, Rui Ning, Lusi Li, Daniel Takabi
2025	—	`conf`	ECSC: Energy-Calibrated Semantic Communication. MILCOM Ziyu Wang, Yiming Du, Rui Ning, Daniel Takabi, Lusi Li
2025	J	`jnl`	Exploring Research and Tools in AI Security: A Systematic Mapping Study. IEEE Access Sidhant Narula, Mohammad GhasemiGol, Javier Carnerero-Cano, Amanda Minnich, Emil Lupu, Daniel Takabi
2025	J	`jnl`	HarmNet: A Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language Models. CoRR Sidhant Narula, Javad Rafiei Asl, Mohammad GhasemiGol, Eduardo Blanco, Daniel Takabi
2025	J	`jnl`	Heterogeneous Graph Backdoor Attack. CoRR Jiawei Chen, Lusi Li, Daniel Takabi, Masha Sosonkina, Rui Ning
2025	—	`conf`	Leveraging Transformer Models and eXplainable Reinforcement Learning Methods for Advanced Intrusion Detection and Response System. TPS-ISA Mohammad GhasemiGol, Daniel Takabi
2025	A*	`conf`	NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks. EMNLP Javad Rafiei Asl, Sidhant Narula, Mohammad GhasemiGol, Eduardo Blanco, Daniel Takabi
2025	J	`jnl`	NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks. CoRR Javad Rafiei Asl, Sidhant Narula, Mohammad GhasemiGol, Eduardo Blanco, Daniel Takabi
2025	J	`jnl`	Privacy-Preserving Multimodal Sentiment Analysis. IEEE Internet Things J. Honghui Xu, Wei Li, Daniel Takabi, Daehee Seo, Zhipeng Cai
2025	—	`ed.`	Wireless Artificial Intelligent Computing Systems and Applications - 18th International Conference, WASA 2024, Qindao, China, June 21-23, 2024, Proceedings, Part I WASA (1) Zhipeng Cai, Daniel Takabi, Shaoyong Guo, Yifei Zou
2025	—	`ed.`	Wireless Artificial Intelligent Computing Systems and Applications - 18th International Conference, WASA 2024, Qindao, China, June 21-23, 2024, Proceedings, Part II WASA (2) Zhipeng Cai, Daniel Takabi, Shaoyong Guo, Yifei Zou
2025	—	`ed.`	Wireless Artificial Intelligent Computing Systems and Applications - 18th International Conference, WASA 2024, Qindao, China, June 21-23, 2024, Proceedings, Part III WASA (3) Zhipeng Cai, Daniel Takabi, Shaoyong Guo, Yifei Zou
2024	J	`jnl`	A Semantic, Syntactic, and Context-Aware Natural Language Adversarial Example Generator. IEEE Trans. Dependable Secur. Comput. Javad Rafiei Asl, Mohammad Hossein Rafiei, Manar Alohaly, Daniel Takabi
2024	J	`jnl`	A Systematic Mapping Study on Intrusion Response Systems. IEEE Access Adel Rezapour, Mohammad GhasemiGol, Daniel Takabi
2024	J	`jnl`	I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption. CoRR Prajwal Panzade, Daniel Takabi, Zhipeng Cai
2024	—	`conf`	MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference. TPS-ISA Parsa Ghazvinian, Robert Podschwadt, Prajwal Panzade, Mohammad Hossein Rafiei, Daniel Takabi
2024	J	`jnl`	MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference. CoRR Parsa Ghazvinian, Robert Podschwadt, Prajwal Panzade, Mohammad Hossein Rafiei, Daniel Takabi
2024	J	`jnl`	MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption. CoRR Prajwal Panzade, Daniel Takabi, Zhipeng Cai
2024	—	`conf`	Memory Efficient Privacy-Preserving Machine Learning Based on Homomorphic Encryption. ACNS (2) Robert Podschwadt, Parsa Ghazvinian, Mohammad GhasemiGol, Daniel Takabi
2024	J	`jnl`	Privacy-Preserving Machine Learning Using Functional Encryption: Opportunities and Challenges. IEEE Internet Things J. Prajwal Panzade, Daniel Takabi, Zhipeng Cai
2024	—	`conf`	RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning. NAACL-HLT (Findings) Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai
2024	J	`jnl`	RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning. CoRR Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai
2024	J	`jnl`	SSCAE - Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator. CoRR Javad Rafiei Asl, Mohammad Hossein Rafiei, Manar Alohaly, Daniel Takabi
2024	J	`jnl`	Self-Supervised Learning for Electroencephalography. IEEE Trans. Neural Networks Learn. Syst. Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi
2024	J	`jnl`	Self-Supervised Learning for Near-Wild Cognitive Workload Estimation. J. Medical Syst. Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi
2023	J	`jnl`	An Insider Threat Mitigation Framework Using Attribute Based Access Control. CoRR Olusesi Balogun, Daniel Takabi
2023	—	`conf`	FENet: Privacy-preserving Neural Network Training with Functional Encryption. IWSPA@CODASPY Prajwal Panzade, Daniel Takabi
2023	C	`ed.`	Proceedings of the 28th ACM Symposium on Access Control Models and Technologies, SACMAT 2023, Trento, Italy, June 7-9, 2023 SACMAT Silvio Ranise, Roberto Carbone, Daniel Takabi
2023	—	`conf`	RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training. EMNLP (Findings) Javad Rafiei Asl, Eduardo Blanco, Daniel Takabi
2023	J	`jnl`	Towards Neural Network-Based Communication System: Attack and Defense. IEEE Trans. Dependable Secur. Comput. Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, Daniel Takabi, Wei Li
2022	J	`jnl`	A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption. IEEE Access Robert Podschwadt, Daniel Takabi, Peizhao Hu, Mohammad Hossein Rafiei, Zhipeng Cai
2022	J	`jnl`	Audio-Visual Autoencoding for Privacy-Preserving Video Streaming. IEEE Internet Things J. Honghui Xu, Zhipeng Cai, Daniel Takabi, Wei Li
2022	J	`jnl`	Integrating Cyber Deception Into Attribute-Based Access Control (ABAC) for Insider Threat Detection. IEEE Access Manar Alohaly, Olusesi Balogun, Daniel Takabi
2022	J	`jnl`	NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data. Neuroinformatics Nipuna Senanayake, Robert Podschwadt, Daniel Takabi, Vince D. Calhoun, Sergey M. Plis
2022	J	`jnl`	Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT. IEEE Trans. Ind. Informatics Zuobin Xiong, Zhipeng Cai, Daniel Takabi, Wei Li
2022	C	`ed.`	SACMAT '22: The 27th ACM Symposium on Access Control Models and Technologies, New York, NY, USA, June 8 - 10, 2022 SACMAT Sven Dietrich, Omar Chowdhury, Daniel Takabi
2022	J	`jnl`	SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges. CoRR Prajwal Panzade, Daniel Takabi
2021	B	`conf`	Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption. CLOUD Robert Podschwadt, Daniel Takabi
2021	J	`jnl`	SoK: Privacy-preserving Deep Learning with Homomorphic Encryption. CoRR Robert Podschwadt, Daniel Takabi, Peizhao Hu
2021	—	`conf`	Towards Faster Functional Encryption for Privacy-preserving Machine Learning. TPS-ISA Prajwal Panzade, Daniel Takabi
2020	—	`conf`	A Hybrid Policy Engineering Approach for Attribute-Based Access Control (ABAC). SoCPaR Manar Alohaly, Daniel Takabi
2020	—	`conf`	Classification of Encrypted Word Embeddings using Recurrent Neural Networks. PrivateNLP@WSDM Robert Podschwadt, Daniel Takabi
2020	J	`jnl`	Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks. IEEE Access Srinath Obla, Xinghan Gong, Asma Aloufi, Peizhao Hu, Daniel Takabi
2019	J	`jnl`	Privacy preserving Neural Network Inference on Encrypted Data with GPUs. CoRR Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio