Timezone: »

 
Poster
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Sean Kulinski · Saurabh Bagchi · David Inouye

Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1600

While previous distribution shift detection approaches can identify if a shift has occurred, these approaches cannot localize which specific features have caused a distribution shift---a critical step in diagnosing or fixing any underlying issue. For example, in military sensor networks, users will want to detect when one or more of the sensors has been compromised, and critically, they will want to know which specific sensors might be compromised. Thus, we first define a formalization of this problem as multiple conditional distribution hypothesis tests and propose both non-parametric and parametric statistical tests. For both efficiency and flexibility, we then propose to use a test statistic based on the density model score function (i.e. gradient with respect to the input)---which can easily compute test statistics for all dimensions in a single forward and backward pass. Any density model could be used for computing the necessary statistics including deep density models such as normalizing flows or autoregressive models. We additionally develop methods for identifying when and where a shift occurs in multivariate time-series data and show results for multiple scenarios using realistic attack models on both simulated and real-world data.

Author Information

Sean Kulinski (Purdue University)
Saurabh Bagchi (Purdue University)

Saurabh Bagchi is a Professor in the School of Electrical and Computer Engineering and the Department of Computer Science at Purdue University in West Lafayette, Indiana. He is the founding Director of a university-wide resilience center at Purdue called CRISP (2017-present). He is the recipient of the Alexander von Humboldt Research Award (2018), the Adobe Faculty Award (2017), the AT&T Labs VURI Award (2016), the Google Faculty Award (2015), and the IBM Faculty Award (2014). He was elected to the IEEE Computer Society Board of Governors for the 2017-19 term and re-elected in 2019. He is an ACM Distinguished Scientist (2013), a Senior Member of IEEE (2007) and of ACM (2009), and a Distinguished Speaker for ACM (2012). He is a co-lead on the $39M WHIN-SMART center at Purdue. Saurabh's research interest is in dependable computing and distributed systems. He is proudest of the 21 PhD students and 50 Masters thesis students who have graduated from his research group and who are in various stages of building wonderful careers in industry or academia. In his group, he and his students have way too much fun building and breaking real systems. Along the way this has led to 10 best paper awards or nominations at IEEE/ACM conferences. Saurabh received his MS and PhD degrees from the University of Illinois at Urbana-Champaign and his BS degree from the Indian Institute of Technology Kharagpur, all in Computer Science. He was selected as the inaugural International Visiting Professor at IIT Kharagpur in 2018.

David Inouye (Purdue University)

More from the Same Authors

  • 2021 : A Generalized and Distributable Generative Model for Private Representation Learning »
    Sheikh Shams Azam · Taejin Kim · Seyyedali Hosseinalipour · Carlee Joe-Wong · Saurabh Bagchi · Christopher Brinton
  • 2021 : A Generalized and Distributable Generative Model for Private Representation Learning »
    Sheikh Shams Azam · Taejin Kim · Seyyedali Hosseinalipour · Carlee Joe-Wong · Saurabh Bagchi · Christopher Brinton
  • 2022 Poster: Cooperative Distribution Alignment via JSD Upper Bound »
    Wonwoong Cho · ZIYU GONG · David Inouye
  • 2022 Poster: Root Cause Analysis of Failures in Microservices through Causal Discovery »
    Azam Ikram · Sarthak Chakraborty · Subrata Mitra · Shiv Saini · Saurabh Bagchi · Murat Kocaoglu
  • 2019 : Poster Session »
    Ayse Cakmak · Yunkai Zhang · Srijith Prabhakarannair Kusumam · Mohamed Osama Ahmed · Xintao Wu · Jayesh Choudhari · David I Inouye · Thomas Taylor · Michel Besserve · Ali Caner Turkmen · Kazi Islam · Antonio Art├ęs · Amrith Setlur · Zhanghua Fu · Zhen Han · Abir De · Nan Du · Pablo Sanchez Martin
  • 2019 : Poster Session »
    Ahana Ghosh · Javad Shafiee · Akhilan Boopathy · Alex Tamkin · Theodoros Vasiloudis · Vedant Nanda · Ali Baheri · Paul Fieguth · Andrew Bennett · Guanya Shi · Hao Liu · Arushi Jain · Jacob Tyo · Benjie Wang · Boxiao Chen · Carroll Wainwright · Chandramouli Shama Sastry · Chao Tang · Daniel S. Brown · David Inouye · David Venuto · Dhruv Ramani · Dimitrios Diochnos · Divyam Madaan · Dmitrii Krashenikov · Joel Oren · Doyup Lee · Eleanor Quint · elmira amirloo · Matteo Pirotta · Gavin Hartnett · Geoffroy Dubourg-Felonneau · Gokul Swamy · Pin-Yu Chen · Ilija Bogunovic · Jason Carter · Javier Garcia-Barcos · Jeet Mohapatra · Jesse Zhang · Jian Qian · John Martin · Oliver Richter · Federico Zaiter · Tsui-Wei Weng · Karthik Abinav Sankararaman · Kyriakos Polymenakos · Lan Hoang · mahdieh abbasi · Marco Gallieri · Mathieu Seurin · Matteo Papini · Matteo Turchetta · Matthew Sotoudeh · Mehrdad Hosseinzadeh · Nathan Fulton · Masatoshi Uehara · Niranjani Prasad · Oana-Maria Camburu · Patrik Kolaric · Philipp Renz · Prateek Jaiswal · Reazul Hasan Russel · Riashat Islam · Rishabh Agarwal · Alexander Aldrick · Sachin Vernekar · Sahin Lale · Sai Kiran Narayanaswami · Samuel Daulton · Sanjam Garg · Sebastian East · Shun Zhang · Soheil Dsidbari · Justin Goodwin · Victoria Krakovna · Wenhao Luo · Wesley Chung · Yuanyuan Shi · Yuh-Shyang Wang · Hongwei Jin · Ziping Xu
  • 2017 : Poster Sessions »
    Dennis Forster · David I Inouye · Shashank Srivastava · Martine De Cock · Srinagesh Sharma · Mateusz Kozinski · Petr Babkin · maxime he · Zhe Cui · Shivani Rao · Ramesh Raskar · Pradipto Das · Albert Zhao · Ravi Lanka
  • 2015 Poster: Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial »
    David I Inouye · Pradeep Ravikumar · Inderjit Dhillon
  • 2014 Poster: Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs »
    David I Inouye · Pradeep Ravikumar · Inderjit Dhillon