Ramya Srinivasan

42 papers A* 3A 1B 4C 2Misc 2Journal 16Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Zero-Shot AI-Generated Image Detection. CoRR Ryosuke Sonoda, Ramya Srinivasan
2025	J	`jnl`	Fair and Interpretable Deepfake Detection in Videos. CoRR Akihito Yoshii, Ryosuke Sonoda, Ramya Srinivasan
2025	B	`conf`	Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art. Creativity & Cognition Alayt Issak, Uttkarsh Narayan, Ramya Srinivasan, Erica Kleinman, Casper Harteveld
2025	J	`jnl`	Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art. CoRR Alayt Issak, Uttkarsh Narayan, Ramya Srinivasan, Erica Kleinman, Casper Harteveld
2025	—	`conf`	Misinformation and Disinformation in Generative AI - A Survey. PAKDD (4) Ramya Srinivasan
2025	A*	`conf`	TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation. EMNLP Inderjeet Singh, Ramya Srinivasan, Roman Vainshtein, Hisashi Kojima
2024	J	`jnl`	A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs. CoRR Ryosuke Sonoda, Ramya Srinivasan
2024	J	`jnl`	Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. Proc. ACM Hum. Comput. Interact. Renee Shelby, Ramya Srinivasan, Katharina Burgdorf, Jennifer Lena, Negar Rostamzadeh
2024	C	`conf`	Interpretable Checklist for Delirium Detection. COMPASS Joel Forman, Ramya Srinivasan, Kanji Uchino, Gen Shinozaki
2024	B	`conf`	LLM Diagnostic Toolkit: Evaluating LLMs for Ethical Issues. IJCNN Mehdi Bahrami, Ryosuke Sonoda, Ramya Srinivasan
2024	Misc	`conf`	Mutual Information-Based Fair Active Learning. ICASSP Ryosuke Sonoda, Ramya Srinivasan
2024	—	`conf`	To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual Arts. FAccT Ramya Srinivasan
2023	—	`conf`	Broadening AI Ethics Narratives: An Indic Art View. FAccT Ajay Divakaran, Aparna Sridhar, Ramya Srinivasan
2023	—	`conf`	Leveraging Cognitive Science for Testing Large Language Models. AITest Ramya Srinivasan, Hiroya Inakoshi, Kanji Uchino
2022	J	`jnl`	Broadening AI Ethics Narratives: An Indic Art View. CoRR Ajay Divakaran, Aparna Sridhar, Ramya Srinivasan
2022	J	`jnl`	Looking at Creative ML Blindspots with a Sociological Lens. CoRR Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena
2021	—	`conf`	Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman
2021	J	`jnl`	Biases in AI Systems: A survey for practitioners. ACM Queue Ramya Srinivasan, Ajay Chander
2021	J	`jnl`	Biases in AI systems. Commun. ACM Ramya Srinivasan, Ajay Chander
2021	—	`conf`	Biases in Generative Art: A Causal Look from the Lens of Art History. FAccT Ramya Srinivasan, Kanji Uchino
2021	J	`jnl`	Building Bridges: Generative Artworks to Explore AI Ethics. CoRR Ramya Srinivasan, Devi Parikh
2021	B	`conf`	Quantifying Confounding Bias in AI Generated Art: A Case Study. SMC Ramya Srinivasan, Kanji Uchino
2021	J	`jnl`	Quantifying Confounding Bias in Generative Art: A Case Study. CoRR Ramya Srinivasan, Kanji Uchino
2020	J	`jnl`	Biases in Generative Art - A Causal Look from the Lens of Art History. CoRR Ramya Srinivasan, Kanji Uchino
2020	A*	`conf`	Explanation Perspectives from the Cognitive Sciences - A Survey. IJCAI Ramya Srinivasan, Ajay Chander
2019	J	`jnl`	Creation of User Friendly Datasets: Insights from a Case Study concerning Explanations of Loan Denials. CoRR Ajay Chander, Ramya Srinivasan
2019	J	`jnl`	Crowdsourcing in the Absence of Ground Truth - A Case Study. CoRR Ramya Srinivasan, Ajay Chander
2019	J	`jnl`	Generating User-friendly Explanations for Loan Denials using GANs. CoRR Ramya Srinivasan, Ajay Chander, Pouya Pezeshkpour
2019	—	`conf`	Understanding Bias in Datasets using Topological Data Analysis. AISafety@IJCAI Ramya Srinivasan, Ajay Chander
2018	C	`conf`	Evaluating Explanations by Cognitive Value. CD-MAKE Ajay Chander, Ramya Srinivasan
2018	—	`conf`	Working with Beliefs: AI Transparency in the Enterprise. IUI Workshops Ajay Chander, Ramya Srinivasan, Suhas Chelian, Jun Wang, Kanji Uchino
2017	—	`conf`	Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions. IHCI Ramya Srinivasan, Ajay Chander, Cathrine L. Dam
2016	A	`conf`	ONE - A Personalized Wellness System. ECAI Ajay Chander, Ramya Srinivasan
2015	J	`jnl`	Computerized Face Recognition in Renaissance Portrait Art: A quantitative measure for identifying uncertain subjects in ancient portraits. IEEE Signal Process. Mag. Ramya Srinivasan, Conrad Rudolph, Amit K. Roy-Chowdhury
2015	—	`—`	Investigating the Role of Saliency for Face Recognition. Ramya Srinivasan
2015	—	`conf`	Robust face recognition based on saliency maps of sigma sets. BTAS Ramya Srinivasan, Amit K. Roy-Chowdhury
2014	—	`conf`	Discovery of Sparse Contextual Relationships for Activity Recognition in Continuous Videos. ICVGIP Nandita M. Nayak, Ramya Srinivasan, Amit K. Roy-Chowdhury
2014	Misc	`conf`	Face recognition based on SIGMA sets of image features. ICASSP Ramya Srinivasan, Abhishek Nagar, Anshuman Tewari, Donato Mitrani, Amit K. Roy-Chowdhury
2013	—	`conf`	Quantitative modeling of artist styles in Renaissance face portraiture. HIP@ICDAR Ramya Srinivasan, Amit K. Roy-Chowdhury, Conrad Rudolph, Jeanette Kohl
2013	A*	`conf`	Recognizing the royals: leveraging computerized face recognition for identifying subjects in ancient artworks. ACM Multimedia Ramya Srinivasan, Amit K. Roy-Chowdhury, Conrad Rudolph, Jeanette Kohl
2012	—	`conf`	Features with Feelings - Incorporating User Preferences in Video Categorization. ACCV (3) Ramya Srinivasan, Amit K. Roy-Chowdhury
2012	B	`conf`	Video classification based on social attitudes. ICIP Ramya Srinivasan, Amit K. Roy-Chowdhury

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.