| Cryptonas: Private inference on a relu budget Z Ghodsi, AK Veldanda, B Reagen, S Garg Advances in Neural Information Processing Systems 33, 16961-16971, 2020 | 82 | 2020 |
| Nnoculation: broad spectrum and targeted treatment of backdoored dnns AK Veldanda, K Liu, B Tan, P Krishnamurthy, F Khorrami, R Karri, ... arXiv preprint arXiv:2002.08313 3, 18, 2020 | 55 | 2020 |
| A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation H Fu, AK Veldanda, P Krishnamurthy, S Garg, F Khorrami IEEE Access, 2022 | 30* | 2022 |
| Atomization of cellulose nanocrystals aqueous suspensions in fused deposition modeling: A scalable technique to improve the strength of 3D printed polymers S Shariatnia, A Veldanda, S Obeidat, D Jarrahbashi, A Asadi Composites Part B: Engineering 177, 107291, 2019 | 21 | 2019 |
| Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification M Yin, AK Veldanda, A Trivedi, J Zhang, K Pfeiffer, Y Hu, S Garg, E Erkip, ... IEEE Open Journal of the Communications Society 3, 493-507, 2022 | 18 | 2022 |
| Nnoculation: Catching badnets in the wild AK Veldanda, K Liu, B Tan, P Krishnamurthy, F Khorrami, R Karri, ... Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021 | 17 | 2021 |
| Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT AK Veldanda, F Grob, S Thakur, H Pearce, B Tan, R Karri, S Garg arXiv preprint arXiv:2310.05135, 2023 | 12 | 2023 |
| Energy-absorbing capacity of polyurethane/SiC/glass-epoxy laminates under impact loading G Balaganesan, V Akshaj Kumar, VC Khan, SM Srinivasan Journal of Engineering Materials and Technology 139 (2), 021008, 2017 | 10 | 2017 |
| On Evaluating Neural Network Backdoor Defenses A Veldanda, S Garg arXiv preprint arXiv:2010.12186, 2020 | 7 | 2020 |
| Hyper-parameter tuning for fair classification without sensitive attribute access AK Veldanda, I Brugere, S Dutta, A Mishler, S Garg arXiv preprint arXiv:2302.01385, 2023 | 5 | 2023 |
| Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss AK Veldanda, I Brugere, J Chen, S Dutta, A Mishler, S Garg Transactions on Machine Learning Research, 2023 | 4* | 2023 |
| Numerical study on multi layered target material subjected to impact loading VC Khan, AK Veldanda, G Balaganesan, MS Sivakumar Latin American Journal of Solids and Structures 15, e32, 2018 | 4 | 2018 |
| Low velocity impact response of composite/sandwich structures KV Akshaj, P Surya, MK Pandit Key Engineering Materials 725, 127-131, 2017 | 3 | 2017 |
| NNoculation: broad spectrum and targeted treatment of backdoored DNNs (2020) AK Veldanda, K Liu, B Tan, P Krishnamurthy, F Khorrami, R Karri, ... arXiv preprint arXiv:2002.08313, 0 | 3 | |
| Investigating Hiring Bias in Large Language Models AK Veldanda, F Grob, S Thakur, H Pearce, B Tan, R Karri, S Garg R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023 | 2 | 2023 |
| Path Planning Under Uncertainty to Localize mmWave Sources K Pfeiffer, Y Jia, M Yin, AK Veldanda, Y Hu, A Trivedi, J Zhang, S Garg, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 3461-3467, 2023 | 2 | 2023 |
| Low velocity impact behavior of SiC/PU/GFRP laminates KV Akshaj, CK Vishwas, G Balaganesan, MS Sivakumar Key Engineering Materials 725, 122-126, 2017 | 2 | 2017 |
| Application of BadNets in Spam Filters S Roychoudhury, AK Veldanda arXiv preprint arXiv:2307.09649, 2023 | | 2023 |
| NNoculation: Catching BadNets in the Wild AK Veldanda, K Liu, B Tan, P Krishnamurthy, F Khorrami, R Karri, ... Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021 | | 2021 |
Siddharth GargNew York University在 nyu.edu 的电子邮件经过验证
