• A protocol to establish trust on biometric authentication devices 

  Kiran, Usha; Moona, Rajat; Biswas, Santosh (Wiley, 2023-03)

  One of the most extensively utilized mechanisms for person authentication is a system built using biometric-based authentication. However, many applications use biometric authentication devices that do not support any ...
• NCache: neighborhood cooperative caching in named data networking 

  Chaudhary, Pankaj; Hubballi, Neminath; Kulkarni, Sameer G. (2022-11-24)
• EEG2IMAGE: image reconstruction from EEG brain signals 

  Singh, Prajwal; Pandey, Pankaj; Miyapuram, Krishna Prasad; Raman, Shanmuganathan (Cornell University Library, 2023-02)

  Reconstructing images using brain signals of imagined visuals may provide an augmented vision to the disabled, leading to the advancement of Brain-Computer Interface (BCI) technology. The recent progress in deep learning ...
• Karchmer-Wigderson games for hazard-free computation 

  Ikenmeyer, Christian; Komarath, Balagopal; Saurabh, Nitin (2023-01-10)
• State of internet privacy and tales of ECH-TLS 

  Khandkar, Vinod S.; Hanawal, Manjesh K.; Kulkarni, Sameer G. (2023-01-03)
• Towards adoption of secure communication protocol in software defined networks 

  Priyadarsini, Gayatri; Kulkarni, Sameer G. (2023-01-03)
• Analysis of quantization across DNN accelerator architecture paradigms 

  Issac, Tom Glint; Jha, Chandan Kumar; Awasthi, Manu; Mekie, Joycee (2023-04-17)
• FedSpectral+: spectral clustering using federated learning 

  Thakkar, Janvi; Joshi, Devvrat (Cornell University Library, 2023-02)

  Clustering in graphs has been a well-known research problem, particularly because most Internet and social network data is in the form of graphs. Organizations widely use spectral clustering algorithms to find clustering ...
• Hardware-software codesign of DNN accelerators using approximate posit multipliers 

  Issac, Tom Glint; Prasad, Kailash; Dagli, Jinay; Gandhi, Krishil; Gupta, Aryan; Vrajesh, Patel; Shah, Neel; Mekie, Joycee (2023-01-16)
• Diverse fair allocations: complexity and algorithms 

  Mittal, Harshil; Nanoti, Saraswati Girish; Sethia, Aditi (2023-02-09)
• k-means subclustering: a differentially private algorithm with improved clustering quality 

  Joshi, Devvrat; Thakkar, Janvi (2022-10-17)
• k-means subclustering: a differentially private algorithm with improved clustering quality 

  Joshi, Devvrat; Thakkar, Janvi (Cornell University Library, 2023-01)

  In today's data-driven world, the sensitivity of information has been a significant concern. With this data and additional information on the person's background, one can easily infer an individual's private data. Many ...
• Finding and counting patterns in sparse graphs 

  Komarath, Balagopal; Kumar, Anant; Mishra, Suchismita; Sethia, Aditi (Cornell University Library, 2023-01)

  We consider algorithms for finding and counting small, fixed graphs in sparse host graphs. In the non-sparse setting, the parameters treedepth and treewidth play a crucial role in fast, constant-space and polynomial-space ...
• FloorGAN: generative network for automated floor layout generation 

  Upadhyay, Abhinav; Dubey, Alpana; Kuriakose, Suma Mani; Agarawal, Shaurya (2023-01-04)
• Understanding catastrophic forgetting for adaptive deep learning 

  Sawant, Shriraj Pramod (2023-01-04)
• Romeo and Juliet meeting in forest like regions 

  Misra, Neeldhara; Mulpuri, Manas; Tale, Prafullkumar; Viramgami, Gaurav (2022-12-18)
• LINEEX: data extraction from scientific line charts 

  Shivasankaran, V. P.; Hassan, Muhammad Yusuf; Singh, Mayank (2023-01-03)
• Neural encoding of songs is modulated by their enjoyment 

  Sharma, Gulshan; Pandey, Pankaj; Subramanian, Ramanathan; Miyapuram, Krishna Prasad; Dhall, Abhinav (2022-11-07)
• Overview and results of MixMT shared-task at WMT 2022 

  Srivastava, Vivek; Singh, Mayank (2022-12-07)
• Detecting moments of distraction during meditation practice based on changes in the EEG signal 

  Pandey, Pankaj; Rodriguez-Larios, Julio; Miyapuram, Krishna Prasad; Lomas, Derek (IEEE, 2022-11)

  Electroencephalography (EEG) enables online monitoring brain activity, which can be used for neurofeedback. One of the growing applications of EEG neurofeedback is to facilitate meditation practice. Specifically, EEG ...

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