Prateek Mittal

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 226

Top Venues

CoRR

USENIX Security Symposium

Proc. Priv. Enhancing Technol.

CCS

Publications

Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
Teach LLMs to Phish: Stealing Private Information from Language Models. CoRR (2024)
Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR (2024)
Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal
Certifiably Robust RAG against Retrieval Corruption. CoRR (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 (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)
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)
Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. AISTATS (2024)
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)
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) (2024)
Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. CoRR (2024)
Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal
Private Fine-tuning of Large Language Models with Zeroth-order Optimization. CoRR (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)
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 (2024)
Lei Gao, Giorgos Christopoulos, Prateek Mittal, Ryuji Hirayama, Sriram Subramanian
StableLev: Data-Driven Stability Enhancement for Multi-Particle Acoustic Levitation. CHI (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 (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 (2024)
Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
Position Paper: Beyond Robustness Against Single Attack Types. CoRR (2024)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI (2024)
Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia
Data Shapley in One Training Run. CoRR (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)
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 (2024)
Edoardo Debenedetti, Vikash Sehwag, Prateek Mittal
A Light Recipe to Train Robust Vision Transformers. SaTML (2023)
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. CoRR (2023)
Grace H. Cimaszewski, Henry Birge-Lee, Liang Wang, Jennifer Rexford, Prateek Mittal
How Effective is Multiple-Vantage-Point Domain Control Validation? CoRR (2023)
Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
A Randomized Approach for Tight Privacy Accounting. CoRR (2023)
Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal
Revisiting the Assumption of Latent Separability for Backdoor Defenses. ICLR (2023)
Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr
Effectively Using Public Data in Privacy Preserving Machine Learning. ICML (2023)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML (2023)
Jacob Alexander Markson Brown, Xi Jiang, Van Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. KDD (2023)
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Uncovering Adversarial Risks of Test-Time Adaptation. CoRR (2023)
Watson Jia, Mona Wang, Liang Wang, Prateek Mittal
QUICstep: Circumventing QUIC-based Censorship. CoRR (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 (2023)
Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
Differentially Private Image Classification by Learning Priors from Random Processes. CoRR (2023)
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. CoRR (2023)
Grace H. Cimaszewski, Henry Birge-Lee, Liang Wang, Jennifer Rexford, Prateek Mittal
How Effective is Multiple-Vantage-Point Domain Control Validation? USENIX Security Symposium (2023)
Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
A Privacy-Friendly Approach to Data Valuation. NeurIPS (2023)
Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. SP (2023)
Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
Differentially Private Image Classification by Learning Priors from Random Processes. NeurIPS (2023)
Jiachen T. Wang, Saeed Mahloujifar, Tong Wu, Ruoxi Jia, Prateek Mittal
A Randomized Approach to Tight Privacy Accounting. NeurIPS (2023)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Large Language Models. CoRR (2023)
Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Uncovering Adversarial Risks of Test-Time Adaptation. ICML (2023)
Xiangyu Qi, Tinghao Xie, Jiachen T. Wang, Tong Wu, Saeed Mahloujifar, Prateek Mittal
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples. USENIX Security Symposium (2023)
Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR (2023)
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. CoRR (2023)
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR (2023)
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. NeurIPS (2023)
Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford
RAVEN: Stateless Rapid IP Address Variation for Enterprise Networks. Proc. Priv. Enhancing Technol. 2023 (3) (2023)
Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal
Differentially Private In-Context Learning. CoRR (2023)
Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. CoRR (2023)
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! CoRR (2023)
Jacob Alexander Markson Brown, Xi Jiang, Van Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. CoRR (2023)
Edoardo Debenedetti, Vikash Sehwag, Prateek Mittal
A Light Recipe to Train Robust Vision Transformers. CoRR (2022)
Henry Birge-Lee, Joel Wanner, Grace H. Cimaszewski, Jonghoon Kwon, Liang Wang, François Wirz, Prateek Mittal, Adrian Perrig, Yixin Sun
Creating a Secure Underlay for the Internet. CoRR (2022)
Xinyu Tang, Milad Nasr, Saeed Mahloujifar, Virat Shejwalkar, Liwei Song, Amir Houmansadr, Prateek Mittal
Machine Learning with Differentially Private Labels: Mechanisms and Frameworks. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Yushan Liu, Xiaokui Shu, Yixin Sun, Jiyong Jang, Prateek Mittal
RAPID: Real-Time Alert Investigation with Context-aware Prioritization for Efficient Threat Discovery. ACSAC (2022)
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal
Neurotoxin: Durable Backdoors in Federated Learning. CoRR (2022)
Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal
Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations. CoRR (2022)
Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Prateek Mittal
Understanding Robust Learning through the Lens of Representation Similarities. CoRR (2022)
Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal
Circumventing Backdoor Defenses That Are Based on Latent Separability. CoRR (2022)
Liang Wang, Prateek Mittal, Jennifer Rexford
Data-plane security applications in adversarial settings. Comput. Commun. Rev. 52 (2) (2022)
Sihui Dai, Saeed Mahloujifar, Prateek Mittal
Parameterizing Activation Functions for Adversarial Robustness. SP Workshops (2022)
Mona Wang, Anunay Kulshrestha, Liang Wang, Prateek Mittal
Leveraging strategic connection migration-powered traffic splitting for privacy. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. CoRR (2022)
Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. AISec@CCS (2022)
Jordan Holland, Paul Schmitt, Prateek Mittal, Nick Feamster
Towards Reproducible Network Traffic Analysis. CoRR (2022)
Chong Xiang, Saeed Mahloujifar, Prateek Mittal
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. USENIX Security Symposium (2022)
Laurent Chuat, Cyrill Krähenbühl, Prateek Mittal, Adrian Perrig
F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure. NDSS (2022)
Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. CoRR (2022)
Ryan Amos, Roland Maio, Prateek Mittal
Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp. CoRR (2022)
Sihui Dai, Saeed Mahloujifar, Prateek Mittal
Formulating Robustness Against Unforeseen Attacks. NeurIPS (2022)
David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal
Athena: Probabilistic Verification of Machine Unlearning. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. USENIX Security Symposium (2022)
Jean-Pierre Smith, Luca Dolfi, Prateek Mittal, Adrian Perrig
QCSD: A QUIC Client-Side Website-Fingerprinting Defence Framework. USENIX Security Symposium (2022)
Ashwinee Panda, Xinyu Tang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning. CoRR (2022)
Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. NeurIPS (2022)
Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. CoRR (2022)
Mona Wang, Anunay Kulshrestha, Liang Wang, Prateek Mittal
Leveraging strategic connection migration-powered traffic splitting for privacy. CoRR (2022)
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez
Neurotoxin: Durable Backdoors in Federated Learning. ICML (2022)
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR (2022)
Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Heather Zheng, Prateek Mittal
Understanding Robust Learning through the Lens of Representation Similarities. NeurIPS (2022)
Sihui Dai, Saeed Mahloujifar, Prateek Mittal
Formulating Robustness Against Unforeseen Attacks. CoRR (2022)
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS (2022)
Anna Harbluk Lorimer, Nick Feamster, Prateek Mittal
Poster: Investigating QUIC's Potential Impact on Censorship Circumvention. CCS (2022)
Henry Birge-Lee, Joel Wanner, Grace H. Cimaszewski, Jonghoon Kwon, Liang Wang, François Wirz, Prateek Mittal, Adrian Perrig, Yixin Sun
Creating a Secure Underlay for the Internet. USENIX Security Symposium (2022)
Vikash Sehwag, Mung Chiang, Prateek Mittal
SSD: A Unified Framework for Self-Supervised Outlier Detection. ICLR (2021)
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE (2021)
Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking. USENIX Security Symposium (2021)
Chong Xiang, Saeed Mahloujifar, Prateek Mittal
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. CoRR (2021)
Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. ICML (2021)
Chong Xiang, Prateek Mittal
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CoRR (2021)
Anatoly Shusterman, Zohar Avraham, Eliezer Croitoru, Yarden Haskal, Lachlan Kang, Dvir Levi, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom
Website Fingerprinting Through the Cache Occupancy Channel and its Real World Practicality. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Liang Wang, Prateek Mittal, Jennifer Rexford
Data-Plane Security Applications in Adversarial Settings. CoRR (2021)
Henry Birge-Lee, Liang Wang, Daniel McCarney, Roland Shoemaker, Jennifer Rexford, Prateek Mittal
Experiences Deploying Multi-Vantage-Point Domain Validation at Let's Encrypt. USENIX Security Symposium (2021)
Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
RobustBench: a standardized adversarial robustness benchmark. NeurIPS Datasets and Benchmarks (2021)
Liwei Song, Prateek Mittal
Systematic Evaluation of Privacy Risks of Machine Learning Models. USENIX Security Symposium (2021)
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
Improving Adversarial Robustness Using Proxy Distributions. CoRR (2021)
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR (2021)
Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal
New Directions in Automated Traffic Analysis. CCS (2021)
Chong Xiang, Prateek Mittal
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CCS (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Prateek Mittal