Publications

Helper-based Adversarial Training Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli

ICML 2021 Workshop on Adversarial Machine Learning
Silver best paper award (Oral)

Helper-based Adversarial Training Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Adrian Hoffmann*, Claudio Fanconi*, Rahul Rade*, Jonas Kohler

ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI

This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models

Soham Deshmukh, Rahul Rade, Faruk Kazi

arXiv

Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models

Temporal and Stochastic Modelling of Attacker Behaviour

Rahul Rade, Soham Deshmukh, Ruturaj Nene, Amey Wadekar, Ajay Unny

ICIIT 2018, Advances in Data Science, Springer CCIS

Temporal and Stochastic Modelling of Attacker Behaviour

Tackling Toxic Online Communication with Recurrent Capsule Networks

Soham Deshmukh, Rahul Rade

CICT 2018, IEEE