Akshaj Kumar Veldanda

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Millimeter Wave

Planning Under Uncertainty

Robotic Navigation

Probabilistic Planning

Top Venues

Trans. Mach. Learn. Res.

Publications

Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. Trans. Mach. Learn. Res. 2024 (2024)
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
Path Planning Under Uncertainty to Localize mmWave Sources. CoRR (2023)
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
Path Planning Under Uncertainty to Localize mmWave Sources. ICRA (2023)
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. Trans. Mach. Learn. Res. 2023 (2023)
Swagnik Roychoudhury, Akshaj Kumar Veldanda
Application of BadNets in Spam Filters. CoRR (2023)
Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT. CoRR (2023)
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR (2023)
Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation. IEEE Access 10 (2022)
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR (2022)
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. IEEE Open J. Commun. Soc. 3 (2022)
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
NNoculation: Catching BadNets in the Wild. AISec@CCS (2021)
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification. CoRR (2021)
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg
CryptoNAS: Private Inference on a ReLU Budget. NeurIPS (2020)
Akshaj Kumar Veldanda, Siddharth Garg
On Evaluating Neural Network Backdoor Defenses. CoRR (2020)
Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection. CoRR (2020)
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg
CryptoNAS: Private Inference on a ReLU Budget. CoRR (2020)
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR (2020)