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Computer Science and Engineering: Recent submissions

  • Sanghavi, Hiral M.; Rashmi, Richa; Dasgupta, Anirban; Majumdar, Sharmistha (Springer, 16-10-2023)
    Guanine nucleotide-binding proteins (G proteins) are seen to play an important role in cellular processes such as sensual and visual perception, protein synthesis, vesicular transport, cell growth and differentiation to ...
  • Padala, Manisha; Nagalapatti, Lokesh; Tyagi, Atharv; Narayanam, Ramasuri; Saini, Shiv Kumar (Association for the Advancement of Artificial Intelligence, 2025-02-25)
    We present an unsupervised method for aggregating anomalies in tabular datasets by identifying the top-k tabular data quality insights. Each insight consists of a set of anomalous attributes and the corresponding subsets ...
  • Dubey, Sarth; Bhasme, Pravin; Bhatia, Udit (2025-04-27)
  • Singh, Prajwal; Vashishtha, Gautam; Mastan, Indra Deep; Raman, Shanmuganathan (Institute of Electrical and Electronics Engineers (IEEE), 2025-04-06)
    The success of deep learning in supervised fine-grained recognition for domain-specific tasks relies heavily on expert annotations. The Open-Set for fine-grained Self-Supervised Learning (SSL) problem aims to enhance ...
  • Sharma, Anupam; Karmakar, Sreyashi; Priyadarsini, Gayatri; Bichhawat, Abhishek (Cornell University Library, 2025-04)
    GitHub is one of the most widely used public code development platform. However, the code hosted publicly on the platform is vulnerable to commit spoofing that allows an adversary to introduce malicious code or commits ...
  • Debnath, Soumyaratna; Katti, Harish; Verma, Shashikant; Raman, Shanmuganathan (2025-04-06)
    While 2D pose estimation has advanced our ability to interpret body movements in animals and primates, it is limited by the lack of depth information, constraining its application range. 3D pose estimation provides a more ...
  • Priyadarsini, Gayatri; Goel, Dishank; Bichhawat, Abhishek (2025-04-28)
    Web applications often include third-party content to personalize a user's online experience. These scripts have unrestricted access to a user's private data stored in the browser's persistent storage, associated with the ...
  • Gond, Pranshu Kumar; Menon, Dhruv; Agarwal, Prankush; Rana, Rwik; Bhatia, Udit (2022-01-18)
  • Das, Shrutimoy; Maity, Binita (2025-02-25)
  • Batra, Nipun; Coleppa, Baradhwaj; Khanna, Akshat; Rai, Santosh Kumar; Sarkar, Agnivo (Cornell University Library, 2025-04)
    One of the standard ways to study scenarios beyond the Standard Model involves extending the Higgs Sector. This work examines the Three Higgs Doublet Model (3HDM) in a Type-Z or democratic setup, where each Higgs doublet ...
  • Kumar, Priyanshu; Jain, Devansh; Yerukola, Akhila; Jiang, Liwei; Beniwal, Himanshu; Hartvigsen, Thomas; Sap, Maarten (Cornell University Library, 2025-04)
    Truly multilingual safety moderation efforts for Large Language Models (LLMs) have been hindered by a narrow focus on a small set of languages (e.g., English, Chinese) as well as a limited scope of safety definition, ...
  • Misra, Neeldhara; Nanoti, Saraswati Girish (Cornell University Library, 2025-04)
    The eternal vertex cover game is played between an attacker and a defender on an undirected graph G. The defender identifies k vertices to position guards on to begin with. The attacker, on their turn, attacks an edge e, ...
  • Beniwal, Himanshu; Venkat, Reddybathuni; Kumar, Rohit; Srivibhav, Birudugadda; Jain, Daksh; Doddi, Pavan; Dhande, Eshwar; Ananth, Adithya; Kuldeep; Kubadia, Heer; Sharda, Pratham; Singh, Mayank (Cornell University Library, 2025-03)
    This work introduces UnityAI-Guard, a framework for binary toxicity classification targeting low-resource Indian languages. While existing systems predominantly cater to high-resource languages, UnityAI-Guard addresses ...
  • Debnath, Soumyaratna; Tiwari, Ashish; Sadekar, Kaustubh; Raman, Shanmuganathan (Cornell University Library, 2025-04)
    Recent advancements in learning-based methods have opened new avenues for exploring and interpreting art forms, such as shadow art, origami, and sketch art, through computational models. One notable visual art form is 3D ...
  • Sheth, Rajvee; Beniwal, Himanshu; Singh, Mayank (Cornell University Library, 2025-03)
    The rapid growth of digital communication has driven the widespread use of code-mixing, particularly Hindi-English, in multilingual communities. Existing datasets often focus on romanized text, have limited scope, or rely ...
  • Kadasi, Pritam; Reddy, Sriman; Chaturvedula, Srivathsa Vamsi; Sen, Rudranshu; Saha, Agnish; Sikdar, Soumavo; Sarkar, Sayani; Mittal, Suhani; Jindal, Rohit; Singh, Mayank (Cornell University Library, 2025-03)
    With the massive surge in ML models on platforms like Hugging Face, users often lose track and struggle to choose the best model for their downstream tasks, frequently relying on model popularity indicated by download ...
  • Choudhary, Pratyush; Das, Subhrajit; Potta, Mukul Paras; Das, Prasuj; Bichhawat, Abhishek (Institute of Electrical and Electronics Engineers (IEEE), 2024-12-19)
    Passwords have been long used as the primary authentication method for web services. Weak passwords used by the users have prompted the use of password management tools and two-factor authentication to ensure better account ...
  • Beniwal, Himanshu; Panda, Sailesh; Singh, Mayank (Cornell University Library, 2025-02)
    We explore Cross-lingual Backdoor ATtacks (X-BAT) in multilingual Large Language Models (mLLMs), revealing how backdoors inserted in one language can automatically transfer to others through shared embedding spaces. Using ...
  • Singh, Shruti; Sarkar, Nandan; Cohan, Arman (Association for Computational Linguistics, 2024-11-12)
    Scientific literature is typically dense, requiring significant background knowledge and deep comprehension for effective engagement. We introduce SciDQA, a new dataset for reading comprehension that challenges language ...
  • Mondal, Susmita; Pandey, Pankaj; Miyapuram, Krishna Prasad; Chakraborty, Suchetana (Institute of Electrical and Electronics Engineers (IEEE), 2024-12-19)
    Monitoring brain cognition functions with the help of wearables like Electroencephalography (EEG) sensors has recently become a popular assistive technology for the Internet of Medical Things (IoMT). EEG is popularly ...

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