Akshaj Kumar Veldanda

19 papers A* 2Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DIAL-SUMMER: A Structured Evaluation Framework of Hierarchical Errors in Dialogue Summaries.
CoRR
Sahana Ramnath, Nima Chitsazan, Mingyang Zhou, Chia-Hsuan Lee, Shixiong Zhang, Stephen Rawls, Sambit Sahu, Sangwoo Cho, Xiang Ren, Genta Indra Winata, Akshaj Kumar Veldanda
2024 J jnl
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.
Trans. Mach. Learn. Res.
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2024 J jnl
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models.
CoRR
Akshaj Kumar Veldanda, Shi-Xiong Zhang, Anirban Das, Supriyo Chakraborty, Stephen Rawls, Sambit Sahu, Milind R. Naphade
2023 J jnl
Application of BadNets in Spam Filters.
CoRR
Swagnik Roychoudhury, Akshaj Kumar Veldanda
2023 J jnl
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT.
CoRR
Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg
2023 J jnl
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss.
Trans. Mach. Learn. Res.
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2023 J jnl
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.
CoRR
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2023 A* conf
Path Planning Under Uncertainty to Localize mmWave Sources.
ICRA
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
2023 J jnl
Path Planning Under Uncertainty to Localize mmWave Sources.
CoRR
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
2022 J jnl
A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation.
IEEE Access
Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
2022 J jnl
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale.
CoRR
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2022 J jnl
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification.
IEEE Open J. Commun. Soc.
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
2021 J jnl
Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification.
CoRR
Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan
2021 — conf
NNoculation: Catching BadNets in the Wild.
AISec@CCS
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
2020 A* conf
CryptoNAS: Private Inference on a ReLU Budget.
NeurIPS
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg
2020 J jnl
CryptoNAS: Private Inference on a ReLU Budget.
CoRR
Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg
2020 J jnl
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection.
CoRR
Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
2020 J jnl
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs.
CoRR
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
2020 J jnl
On Evaluating Neural Network Backdoor Defenses.
CoRR
Akshaj Kumar Veldanda, Siddharth Garg