activity
20172022
most citedAttack of the Tails: Yes, You Really Can Backdoor Federated Learning

110 citations · 124 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20221 cited

Lifting Weak Supervision To Structured Prediction

Harit Vishwakarma, Nicholas Roberts, Frederic Sala

Weak supervision (WS) is a rich set of techniques that produce pseudolabels by aggregating easily obtained but potentially noisy label estimates from a variety of sources. WS is th…

cs.LG2020110 cited

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Hongyi Wang, Kartik Sreenivasan, Shashank Rajput +5

Due to its decentralized nature, Federated Learning (FL) lends itself to adversarial attacks in the form of backdoors during training. The goal of a backdoor is to corrupt the perf…

cs.LG2020

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient

Ankit Pensia, Shashank Rajput, Alliot Nagle +2

The strong {\it lottery ticket hypothesis} (LTH) postulates that one can approximate any target neural network by only pruning the weights of a sufficiently over-parameterized rand…

cs.CY20175 cited

Cogniculture: Towards a Better Human-Machine Co-evolution

Rakesh R Pimplikar, Kushal Mukherjee, Gyana Parija +6

Research in Artificial Intelligence is breaking technology barriers every day. New algorithms and high performance computing are making things possible which we could only have ima…

cs.CY20178 cited

An End-To-End Machine Learning Pipeline That Ensures Fairness Policies

Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta +3

In consequential real-world applications, machine learning (ML) based systems are expected to provide fair and non-discriminatory decisions on candidates from groups defined by pro…