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Publication search results
found 274 matches
- 2024
- Yicheng Liao, Yufei Li, Minjie Chen, Lars Nordström, Xiongfei Wang, Prateek Mittal, H. Vincent Poor:
Neural Network Design for Impedance Modeling of Power Electronic Systems Based on Latent Features. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5968-5980 (2024) - Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal:
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI 2024: 21527-21536 - Jiachen T. Wang, Prateek Mittal, Ruoxi Jia:
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. AISTATS 2024: 2557-2565 - Lei Gao, Giorgos Christopoulos, Prateek Mittal, Ryuji Hirayama, Sriram Subramanian:
StableLev: Data-Driven Stability Enhancement for Multi-Particle Acoustic Levitation. CHI 2024: 202:1-202:11 - Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Asad Rizvi, Matteo Rosati, Christopher L. Averill, James Cross, Prateek Mittal, Emanuele Zappala, Rahul Madhav Dhodapkar, Chadi Abdallah, David van Dijk:
BrainLM: A foundation model for brain activity recordings. ICLR 2024 - Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal:
Teach LLMs to Phish: Stealing Private Information from Language Models. ICLR 2024 - Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson:
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! ICLR 2024 - Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal:
Privacy-Preserving In-Context Learning for Large Language Models. ICLR 2024 - Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal:
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. ICLR 2024 - Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal:
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization. ICML 2024 - Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson:
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. ICML 2024 - Chong Xiang, Tong Wu, Sihui Dai, Jonathan Petit, Suman Jana, Prateek Mittal:
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses. USENIX Security Symposium 2024 - Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal:
Private Fine-tuning of Large Language Models with Zeroth-order Optimization. CoRR abs/2401.04343 (2024) - Jiachen T. Wang, Prateek Mittal, Ruoxi Jia:
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. CoRR abs/2401.11103 (2024) - Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson:
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR abs/2402.05162 (2024) - Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal:
Teach LLMs to Phish: Stealing Private Information from Language Models. CoRR abs/2403.00871 (2024) - Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal:
Position Paper: Beyond Robustness Against Single Attack Types. CoRR abs/2405.01349 (2024) - Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal:
Certifiably Robust RAG against Retrieval Corruption. CoRR abs/2405.15556 (2024) - Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal:
AI Risk Management Should Incorporate Both Safety and Security. CoRR abs/2405.19524 (2024) - Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson:
Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR abs/2406.05946 (2024) - Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia:
Data Shapley in One Training Run. CoRR abs/2406.11011 (2024) - Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal:
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. CoRR abs/2406.14598 (2024) - Vineet Jagadeesan Nair, Venkatesh Venkataramanan, Priyank Srivastava, Partha S. Sarker, Anurag Srivastava, Laurentiu D. Marinovici, Jun Zha, Christopher Irwin, Prateek Mittal, John Williams, H. Vincent Poor, Anuradha M. Annaswamy:
Resilience of the Electric Grid through Trustable IoT-Coordinated Assets. CoRR abs/2406.14861 (2024) - Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal:
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR abs/2406.16797 (2024) - 2023
- NagaSree Keerthi Pujari, Srinivas Soumitri Miriyala, Prateek Mittal, Kishalay Mitra:
Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning. Expert Syst. Appl. 214: 119063 (2023) - Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford:
RAVEN: Stateless Rapid IP Address Variation for Enterprise Networks. Proc. Priv. Enhancing Technol. 2023(3): 194-210 (2023) - Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal:
Revisiting the Assumption of Latent Separability for Backdoor Defenses. ICLR 2023 - Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal:
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML 2023: 6760-6785 - Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr:
Effectively Using Public Data in Privacy Preserving Machine Learning. ICML 2023: 25718-25732 - Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
Uncovering Adversarial Risks of Test-Time Adaptation. ICML 2023: 37456-37495
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