Raha Moraffah

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Evaluation Methods

Causal Inference

Machine Learning

Top Venues

Publications

Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
Adversarial Text Purification: A Large Language Model Approach for Defense. CoRR (2024)
Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
Adversarial Text Purification: A Large Language Model Approach for Defense. PAKDD (5) (2024)
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR (2024)
Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM (2024)
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR (2024)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR (2024)
Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR (2024)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
EAGLE: A Domain Generalization Framework for AI-generated Text Detection. CoRR (2024)
Raha Moraffah, Huan Liu
Exploiting Class Probabilities for Black-box Sentence-level Attacks. CoRR (2024)
Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu
Causal Feature Selection for Responsible Machine Learning. CoRR (2024)
Raha Moraffah, Huan Liu
A Generative Approach to Surrogate-based Black-box Attacks. CoRR (2024)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
Zero-shot LLM-guided Counterfactual Generation for Text. CoRR (2024)
Adrienne Raglin, Raha Moraffah
Data Integrity and Artificial Reasoning. CogMI (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR (2023)
Suraj Jyothi Unni, Raha Moraffah, Huan Liu
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization. CoRR (2023)
Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. CoRR (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR (2023)
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR (2023)
Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
Socially Responsible Machine Learning: A Causal Perspective. KDD (2023)
Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. IJCNLP (1) (2023)
Raha Moraffah, Huan Liu
Query-Efficient Target-Agnostic Black-Box Attack. ICDM (2022)
Raha Moraffah, Paras Sheth, Huan Liu
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. Big Data (2022)
Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
Evaluation Methods and Measures for Causal Learning Algorithms. CoRR (2022)
Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
Domain Generalization - A Causal Perspective. CoRR (2022)
Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. 3 (6) (2022)
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR (2021)
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. 63 (12) (2021)
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR (2020)
Bahman Moraffah, Christ Richmond, Raha Moraffah, Antonia Papandreou-Suppappola
Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter. CoRR (2020)
Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR (2020)
Adrienne Raglin, Raha Moraffah, Huan Liu
Causality and Uncertainty of Information for Content Understanding. CogMI (2020)
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. 22 (1) (2020)
Bahman Moraffah, Christ Richmond, Raha Moraffah, Antonia Papandreou-Suppappola
METRIC-Bayes: Measurements Estimation for Tracking in High Clutter using Bayesian Nonparametrics. ACSSC (2020)
Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
Deep causal representation learning for unsupervised domain adaptation. CoRR (2019)
Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
A Practical Data Repository for Causal Learning with Big Data. Bench (2019)
Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR (2018)
Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM (2018)
Mohamed Sarwat, Raha Moraffah, Mohamed F. Mokbel, James L. Avery
Database System Support for Personalized Recommendation Applications. ICDE (2017)
Jia Yu, Raha Moraffah, Mohamed Sarwat
Hippo in Action: Scalable Indexing of a Billion New York City Taxi Trips and Beyond. ICDE (2017)