Deep Learning and security:

1. Vinay Prabhu, John Whaley ,”Vulnerability of deep learning-based gait biometric recognition to adversarial perturbations", In Proceedings of the CVPR 2017 CV-COPS workshop, 2017,Honolulu, Hawaii — July 21, 2017.
2. Vinay Prabhu, John Whaley ,”Smile in the face of adversity much? A print based spoofing attack", In Proceedings of the CVPR 2017 CV-COPS workshop, 2017,Honolulu, Hawaii — July 21, 2017.
3. Vinay Uday Prabhu and John Whaley,” On grey-box adversarial attacks and transfer learning", Project Report, Link: https://unify.id/wp-content/uploads/2018/03/greybox_attack.pdf
4. Vinay Prabhu, John Whaley ,”On Lyapunov exponents and adversarial perturbations",In Proceedings of the Deep Learning Security Workshop (DLSW-2017),Singapore — Dec 15, 2017. [ Won the Research Forum Best paper Award $250] Link: https://sgcsc.sg/event-2017-12-cybercamp.html#prettyPhoto[Cybersecurity%20Camp%20II]/4/
5. Vinay Uday Prabhu, Nishant Desai, John Whaley, "Chaos Theory meets deep learning: On Lyapunov exponents and adversarial perturbations,'' CVPR 2018 CV-COPS workshop, 2018, Salt Lake City, Utah, June 2018
6. Vinay Uday Prabhu, John Whaley, "Art-attack! On style transfers with textures, label categories and adversarial examples", CVPR 2018 CV-COPS workshop, 2018, Salt Lake City, Utah, June 2018
7. Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer,'Model weight theft with just noise inputs: The curious case of the petulant attacker', ICML Security and Privacy of Machine Learning workshop, June 2019, Long Beach, USA. (Accepted for spotlight presentation : https://slideslive.com/38918115/model-weight-theft-with-just-noise-inputs-the-curious-case-of-the-petulant-attacker?locale=en )
8. Dian Ang Yap, Joyce Xu, Vinay Uday Prabhu, Matthew McAteer,'Understanding Adversarial Robustness Through Loss Landscape Geometries', Uncertainty & Robustness in Deep Learning workshop, ICML-2019, June-2019, Long Beach, California, USA
9. Dian Ang Yap, Joyce Xu, Vinay Uday Prabhu, John Whaley, 'Detection of Adversarial Inputs through Entropy of Saliency Maps', CVCOPS workshop, CVPR-2019, June-2019, Long Beach, California, USA

Deep Learning for motion sensor data:

1. Vinay Prabhu, John Whaley ,” SenTenCE: A multi-sensor data compression framework using tensor decompositions for human activity classification.”In Proceedings of the Tensor-Learn Workshop, NEURIPS '16, Dec 10th, 2016 - Barcelona, Spain.
2. Vinay Uday Prabhu, 'GaitNet 1.0 : State-of-the-art accelerometric gait based identification of humans', Poster, Big Data in Precision Health Conference, May 23, 108, Stanford, CA
3. Vinay Uday Prabhu, Daniel Wen, John Whaley, "SIMUni: Sampling Impostors from Misfit Universal Background Models in accelerometric gait biometric verification", Proceedings, BayLearn-18, October 2018, Menlo Park, CA, USA.
4. Vinay Prabhu, John Whaley and Mihail D, 'MODHILL: A framework for debugging gait in multi-factor authentication systems', Workshop on Debugging Machine Learning Models-ICLR 2019, May 2019, New Orleans, USA
5. Stephanie Tietz, Vinay Uday Prabhu, 'GaitID-2-SquatID: Deep transfer learning for human kinematics', Time Series workshop, ICML-2019, June-2019, Long Beach, California, USA
6. Vinay Prabhu, Stephanie Tietz and Anh Ta, 'Classifying humans using Deep time-series transfer learning : accelerometric gait-cycles to gyroscopic squats’ , Proceedings, 5th SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS), KDD-2019, Anchorage, Aug-2019, Alaska (Accepted as a ‘Contributed Talk’)
7. Daniel Wu*, Avoy Datta*,Vinay Prabhu ,BiPedalNet: “Binarized Neural Networks for Resource-Constrained On-Device Gait Identification”, Proceedings of the Practical ML for Developing Countries Workshop @ ICLR 2020

Initialization strategies:

1. Aidan Clark, Vinay Uday Prabhu and John Whaley,” Weight initialization strategies for Binarized Neural Networks", In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications ,10th August, 2017, Sydney, Australia. https://unify.id/assets/pdf/labs/weight_init_BNN.pdf
2. Dian Ang Yap, Nicholas Roberts, Vinay Uday Prabhu, ‘Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity’,Proceedings, Workshop on Information Theory and Machine Learning (ITML-2019), NEURIPS-2019, Vancouver, Dec-2019, Canada. https://arxiv.org/abs/1911.07418

Model Compression / Architectures:

1. Vinay Prabhu, Paulo Arantes, John Whaley ,”Multi-sensor data compression using tensor decompositions: A SenTenCE and more.", Poster, NVIDIA GPU Technology Conference (GTC-2017), May 8th,2017, San Jose, USA. https://unify.id/assets/pdf/labs/sentence.pdf
2. Nikhil Mehta, Vinay Uday Prabhu and John Whaley,”Memorization in Binarized Neural Networks", In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications ,10th August, 2017, Sydney, Australia. https://unify.id/assets/pdf/labs/Memorization%20in%20Binarized%20Neural%20Networks.pdf
3. Aidan Clark, Vinay Uday Prabhu and John Whaley,” A Contextual Discretization framework for compressing Recurrent Neural Networks", https://openreview.net/references/pdf?id=SJGIC1BFe
4. Nicholas Roberts, Dian Ang Yap, Vinay Uday Prabhu,’Deep Connectomics Networks: Neural network architectures inspired by neuronal networks’,Proceedings, Neuro-AI Workshop, NEURIPS-2019, Vancouver, Dec-2019, Canada. https://arxiv.org/abs/1912.08986
5. Daniel Wu*, Avoy Datta*,Vinay Prabhu ,BiPedalNet: “Binarized Neural Networks for Resource-Constrained On-Device Gait Identification”, Proceedings of the Practical ML for Developing Countries Workshop @ ICLR 2020

Learning / Model behavior:

1. Nikhil Mehta, Vinay Uday Prabhu and John Whaley,”Memorization in Binarized Neural Networks", In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications ,10th August, 2017, Sydney, Australia. https://unify.id/assets/pdf/labs/Memorization%20in%20Binarized%20Neural%20Networks.pdf
2. Karttikeya Mangalam, Vinay Uday Prabhu,' Do deep neural networks learn shallow learnable examples first?', In Proceedings, SPML workshop, ICML-2019, June 2019, Long Beach, USA. https://openreview.net/pdf?id=HkxHv4rn24

Bias and fairness:

1. Vinay Uday Prabhu, Dian Ang Yap, Alex Wang,'Covering up bias with Markov blankets: A post-hoc cure for attribute prior blindness',Workshop on Invertible Neural Nets and Normalizing Flows, ICML-2019, June-2019, Long Beach, California, USA. https://arxiv.org/abs/1907.12917
2. Vinay Uday Prabhu, ‘The blood diamond effect in neural art: On ethically troublesome images of the imagenet dataset’, https://openreview.net/pdf?id=HJlrwcP9DB

Generative Models:

1. Edgar Minasyan, Vinay Prabhu, "Hockey-Stick GAN ", Workshop proceedings, Sixth International Conference on Learning Representations, ICLR-2018, Vancouver, Canada, May-2018. https://openreview.net/pdf?id=HJOt7P1wz
2. Vinay Uday Prabhu, Dian Ang Yap, Alex Wang,'Covering up bias with Markov blankets: A post-hoc cure for attribute prior blindness',Workshop on Invertible Neural Nets and Normalizing Flows, ICML-2019, June-2019, Long Beach, California, USA , https://arxiv.org/abs/1907.12917

Dataset curation:

1. Vinay Uday Prabhu, Sanghyun Han, Dian Ang Yap, Mihail D, Preethi S,"A Seed- Augment-Train framework for universal digit classification", In Proceedings, DGS workshop-ICLR 2019, May 2019, New Orleans, USA, Link: https://arxiv.org/abs/1905.08633
2. Vinay Prabhu, Sangyun Han, John Whaley, 'Kannada-MNIST: Spurring the MNIST-moment for the numeral scripts in the developing world', Proceedings, ML for the Developing World (ML4D) workshop, NEURIPS-2019, Vancouver, Dec-2019, Canada. https://arxiv.org/abs/1908.01242
3. Daniel J. Wu, Andrew C. Yang , Vinay Prabhu, “Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages”, Proceedings of the Practical ML for Developing Countries Workshop @ ICLR 2020.

Knowledge discovery and Network Sciences

1: Vinay Prabhu, R. Negi, and M. Rodrigues,'Community-based network aided Lung-and-Bronchus cancer classification', Poster, YES Workshop Statistics for Complex and High Dimensional Systems, January 28-29, 2013 - Eindhoven, The Netherlands.

2: Vinay Prabhu,R. Negi, and M. Rodrigues, 'Bipartisan cloture roll call vote prediction using the joint press release network in US Senate', In Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013). Atlanta, USA. June 2013.

3: R. Negi, Vinay Prabhu and M. Rodrigues, "Latent sentiment detection in Online Social Networks: A communications-oriented view," Communications (ICC), 2014 IEEE International Conference on , pp.3758-3763, 10-14 June 2014.

4:V. U. Prabhu,R. Negi, and M. Rodrigues,'On exploring spatial correlations in census derived economic datasets', In proc. NSF workshop on big data and urban informatics, BDUIC-2014 , 11-12 August 2014, Chicago, Illinois, USA.

Channel estimation in OFDM wireless systems

1: Vinay Uday Prabhu, Devendra Jalihal and K. Giridhar,Channel estimation in OFDM systems using the Hodrick-Prescott lter,Proc. 10th International Symposium on Wireless Personal Multimedia Communications (WPMC-2007),pp:431-436,Dec. 3-6, 2007

2: Vinay Uday Prabhu, Devendra Jalihal,Use of biased estimators for improved channel estimation in OFDM systems", Proc. International Conference on Signal Processing, Communications and Networking ,pp:35-39,Jan.4-6, 2008

3: Vinay Uday Prabhu,Devendra Jalihal,On achieving PACE for OFDM systems by SIN:A rendezvous with spectrometry",Student Paper,IEEE Sarnoff Symposium-2008,Princeton,USA

4: Vinay Uday Prabhu,Devendra Jalihal,On improved channel estimation for OFDM systems using the additive eigenvalue inflation factor approach",Proc. IEEE Sarnoff Symposium-2008,pp:1-5,28-30 April,Princeton,USA

5: Vinay Uday Prabhu,Devendra Jalihal,A novel pilot aided Time of Arrival (TOA) estimation algorithm for vehicular OFDM systems in specular wireless channels", Proc. IEEE Autonet workshop,GLOBECOM-2008,pp:1-5, Nov 30-Dec 4,2008, New Orleans,USA

6: Vinay Uday Prabhu,Devendra Jalihal,"An Improved ESPRIT Based Time-of-Arrival Estimation Algorithm for Vehicular OFDM Systems," Proc. IEEE Vehicular Technology Conference, VTC Spring 2009, pp.1-4, 26-29 April 2009, Barcelona, Spain

7: Vinay Uday Prabhu,Dimitris Toumpakaris,"An MSE-tunable linear estimator with conditional dominance over least-squares estimation," Proc. IEEE Information Theory Workshop on Networking and Information Theory, ITW 2009, pp.71-75, 12-10 June 2009, Volos, Greece

Resource allocation in OFDM wireless systems

8: Vinay Uday Prabhu,K. Sotirios,Dimitris Toumpakaris,A comparative study of fixed codebook centralized downlink beamforming schemes for distributed antenna systems",Wireless VITAE 2009, pp.171-176, 17-20 May 2009, Aalborg, Denmark

9: Vinay Uday Prabhu,Dimitris Toumpakaris,A simple MAC-aware cross layer framework for downlink subcarrier allocation in MU-MISO OFDMA systems", (Invited paper), pp: 1-5, WPMC-2009, Sendai, Japan

Information theoretic physical layer secrecy analysis

10: Vinay Uday Prabhu, Miguel Rodrigues, "On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the outage probability and outage Secrecy Capacity", pp: 1-6, Proc. of IEEE GLOBECOM 2010, Miami, USA.

11: Vinay Uday Prabhu, Miguel Rodrigues, "On Wireless Channels With M -Antenna Eavesdroppers: Characterization of the Outage Probability and " -Outage Secrecy Capacity", IEEE Transactions on Information Forensics and Security,vol.6, no.3, pp.853-860, Sept. 2011 doi: 10.1109/TIFS.2011.2159491.

12: Hugo Reboredo, Vinay Prabhu, Miguel.R. D. Rodrigues, Joao Xavier, "Filter design with secrecy constraints: the multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters", accepted, ICASSP 2011, Vienna, Austria.

13: Vinay Prabhu, Miguel.R. D. Rodrigues, "Up-link physical layer security analysis in the presence of malicious co-users: Characterizing probability of secrecy outage in SIMOSE communication channels", Technical Report.