Harshitha Machiraju

11 papers A* 1A 2B 1Journal 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions.
CoRR
Harshitha Machiraju, Michael H. Herzog, Pascal Frossard
2022 J jnl
A comment on Guo et al. [arXiv: 2206.11228].
CoRR
Ben Lonnqvist, Harshitha Machiraju, Michael H. Herzog
2022 A conf
CLAD: A Contrastive Learning based Approach for Background Debiasing.
BMVC
Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard
2022 J jnl
CLAD: A Contrastive Learning based Approach for Background Debiasing.
CoRR
Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard
2022 J jnl
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition.
CoRR
Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog, Pascal Frossard
2021 J jnl
Bio-inspired Robustness: A Review.
CoRR
Harshitha Machiraju, Oh-Hyeon Choung, Pascal Frossard, Michael H. Herzog
2020 A conf
A Little Fog for a Large Turn.
WACV
Harshitha Machiraju, Vineeth N. Balasubramanian
2020 J jnl
A Little Fog for a Large Turn.
CoRR
Harshitha Machiraju, Vineeth N. Balasubramanian
2019 A* conf
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.
IJCAI
Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2019 J jnl
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.
CoRR
Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian
2018 B conf
An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its Application to a Real-Time Alerting System.
ICIP
Harshitha Machiraju, Sumohana S. Channappayya