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Akshaj Kumar Veldanda
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2020 – today
- 2024
- [j4]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) - [i11]Akshaj Kumar Veldanda, Shi-Xiong Zhang, Anirban Das, Supriyo Chakraborty, Stephen Rawls, Sambit Sahu, Milind R. Naphade:
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models. CoRR abs/2409.13054 (2024) - 2023
- [j3]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) - [c3]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: 3461-3467 - [i10]Akshaj Kumar Veldanda
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR abs/2302.01385 (2023) - [i9]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda
Path Planning Under Uncertainty to Localize mmWave Sources. CoRR abs/2303.03739 (2023) - [i8]Swagnik Roychoudhury, Akshaj Kumar Veldanda:
Application of BadNets in Spam Filters. CoRR abs/2307.09649 (2023) - [i7]Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT. CoRR abs/2310.05135 (2023) - 2022
- [j2]Hao Fu
A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation. IEEE Access 10: 5545-5558 (2022) - [j1]Mingsheng Yin
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. IEEE Open J. Commun. Soc. 3: 493-507 (2022) - [i6]Akshaj Kumar Veldanda
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR abs/2206.14853 (2022) - 2021
- [c2]Akshaj Kumar Veldanda
NNoculation: Catching BadNets in the Wild. AISec@CCS 2021: 49-60 - [i5]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 abs/2110.14789 (2021) - 2020
- [c1]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. NeurIPS 2020 - [i4]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR abs/2002.08313 (2020) - [i3]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. CoRR abs/2006.08733 (2020) - [i2]Akshaj Kumar Veldanda, Siddharth Garg:
On Evaluating Neural Network Backdoor Defenses. CoRR abs/2010.12186 (2020) - [i1]Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection. CoRR abs/2011.02526 (2020)
Coauthor Index
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