I am a PhD student in computer science department at Duke University. My advisors are Pof. Ashwin Machanavajjhala and Prof. Landon Cox. My primary research interests are Privacy, Security and Mobile Systems. In particular, I am interested in designing privacy frameworks that optimize privacy-utility tradeoff and allow users to take an informed decision about sharing their data to obtain services in return. I am also interested in problems in the area of computer vision and deep learning. More details are available in my cv.

Publications

• Protecting Visual Secrets using Adversarial Nets, Nisarg Raval, Ashwin Machanavajjhala, Landon Cox, CVPR Workshop 2017.
  


• On Methods for Privacy-Preserving Energy Disaggregation, Ye Wang, Nisarg Raval, Prakash Ishwar, Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu, ICASSP 2017.
  


• A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories, Xi He, Nisarg Raval, Ashwin Machanavajjhala, VLDB 2016.
  [Best Demo Award]


• What You Mark is What Apps See, Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala and Landon Cox, MobiSys 2016.
  [Press]


• MarkIt: Privacy Markers for Protecting Visual Secrets, Nisarg Raval, Animesh Srivastava, Kiron Lebeck, Landon Cox and Ashwin Machanavajjhala, UPSIDE, UBICOMP Workshop 2014.


• Efficient Evaluation of SVM Classifiers Using Error Space Encoding, Nisarg Raval, Rashmi Tonge, C. V. Jawahar, ICPR 2014.


• Image Retrieval using Eigen Queries, Nisarg Raval, Rashmi Tonge, C. V. Jawahar, ACCV 2012.


• Privacy Preserving Outlier Detection Using Locality Sensitive Hashing, Nisarg Raval, Madhuchand Rushi Pillutla, Piyush Bansal, Kannan Srinathan, C.V. Jawahar, PADM, ICDM Workshop 2011.


• LSH based Outlier Detection and its Application in Distributed Setting, Madhuchand Rushi Pillutla, Nisarg Raval, Piyush Bansal, Kannan Srinathan, C.V. Jawahar, CIKM 2011.