Search Results for author: Rahul Rade

Found 5 papers, 3 papers with code

PRIME: A few primitives can boost robustness to common corruptions

1 code implementation27 Dec 2021 Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

Despite their impressive performance on image classification tasks, deep networks have a hard time generalizing to unforeseen corruptions of their data.

Data Augmentation Domain Generalization +1

Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

no code implementations ICLR 2022 Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli

While adversarial training has become the de facto approach for training robust classifiers, it leads to a drop in accuracy.

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

1 code implementation5 May 2021 Adrian Hoffmann, Claudio Fanconi, Rahul Rade, Jonas Kohler

Deep neural networks that yield human interpretable decisions by architectural design have lately become an increasingly popular alternative to post hoc interpretation of traditional black-box models.

Explainable artificial intelligence Image Classification +1

Attacker Behaviour Profiling using Stochastic Ensemble of Hidden Markov Models

no code implementations28 May 2019 Soham Deshmukh, Rahul Rade, Dr. Faruk Kazi

For modelling we propose a novel semi-supervised algorithm called Fusion Hidden Markov Model (FHMM) which is more robust to noise, requires comparatively less training time, and utilizes the benefits of ensemble learning to better model temporal relationships in data.

Ensemble Learning Intrusion Detection

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