Akshaj Kumar Veldanda

According to our database, Akshaj Kumar Veldanda authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss.

Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

Trans. Mach. Learn. Res., 2023

Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT.

Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg

CoRR, 2023

Application of BadNets in Spam Filters.

Swagnik Roychoudhury, Akshaj Kumar Veldanda

CoRR, 2023

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.

Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

CoRR, 2023

Path Planning Under Uncertainty to Localize mmWave Sources.

Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification.

Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan

IEEE Open J. Commun. Soc., 2022

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale.

Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

CoRR, 2022

A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation.

Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

IEEE Access, 2022

2021

Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification.

Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan

CoRR, 2021

NNoculation: Catching BadNets in the Wild.

Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection.

Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

CoRR, 2020

On Evaluating Neural Network Backdoor Defenses.

Akshaj Kumar Veldanda, Siddharth Garg

CoRR, 2020

NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs.

Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

CoRR, 2020

CryptoNAS: Private Inference on a ReLU Budget.

Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020