Harsh Chaudhari

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All published works

Action	Title	Year	Authors
+ PDF Chat	UTrace: Poisoning Forensics for Private Collaborative Learning	2024	Evan Rose Hidde Lycklama Harsh Chaudhari Anwar Hithnawi Alina Oprea
+ PDF Chat	Phantom: General Trigger Attacks on Retrieval Augmented Language Generation	2024	Harsh Chaudhari Giorgio Severi John Abascal Matthew Jagielski Christopher A. Choquette-Choo Milad Nasr Cristina Nita-Rotaru Alina Oprea
+	L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models	2024	Harsh Chaudhari Anuja Patil Dhanashree Lavekar Pranav Khairnar Raviraj Joshi
+ PDF Chat	L3Cube-MahaSocialNER: A Social Media based Marathi Named Entity Recognition Dataset and BERT models	2023	Harsh Chaudhari Anuja Patil Dhanashree Lavekar Pranav Khairnar Raviraj Joshi
+ PDF Chat	SNAP: Efficient Extraction of Private Properties with Poisoning	2023	Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan Ullman
+ PDF Chat	SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning	2023	Harsh Chaudhari Matthew Jagielski Alina Oprea
+ PDF Chat	On Significance of Subword Tokenization for Low-Resource and Efficient Named Entity Recognition: A Case Study in Marathi	2023	Harsh Chaudhari Anuja Patil Dhanashree Lavekar Pranav Khairnar Raviraj Joshi Sachin Pande
+	Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning	2023	Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan Ullman
+	SNAP: Efficient Extraction of Private Properties with Poisoning	2022	Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan Ullman
+	SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning	2022	Harsh Chaudhari Matthew Jagielski Alina Oprea
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh
+ PDF Chat	ASTRA	2019	Harsh Chaudhari Ashish Choudhury Arpita Patra Ajith Suresh

Common Coauthors

Coauthor	Papers Together
Alina Oprea	6
Matthew Jagielski	5
Anuja Patil	3
Pranav Khairnar	3
Dhanashree Lavekar	3
Jonathan Ullman	3
John Abascal	3
Florian Tramèr	2
Raviraj Joshi	2
Giorgio Severi	2
Ajith Suresh	2
Anwar Hithnawi	1
Hidde Lycklama	1
Alina Oprea	1
Milad Nasr	1
Christopher A. Choquette-Choo	1
Evan Rose	1
Cristina Nita-Rotaru	1
Sachin Pande	1
Rahul Rachuri	1
Raviraj Joshi	1
Ashish Choudhury	1
Arpita Patra	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Mono Versus Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition	2023	Onkar Litake Maithili Sabane Parth Patil Aparna Ranade Raviraj Joshi	3
+	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications	2018	M. Sadegh Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori Thomas Schneider Farinaz Koushanfar	2
+ PDF Chat	Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting	2018	Samuel Yeom Irene Giacomelli Matt Fredrikson Somesh Jha	2
+ PDF Chat	Property Inference from Poisoning	2022	Saeed Mahloujifar Esha Ghosh Melissa Chase	2
+	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	2017	Xinyun Chen Chang Liu Bo Li Kimberly Lu Dawn Song	2
+ PDF Chat	Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning	2018	Matthew Jagielski Alina Oprea Battista Biggio Chang Liu Cristina Nita-Rotaru Bo Li	2
+ PDF Chat	Membership Inference Attacks From First Principles	2022	Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr	2
+ PDF Chat	Formalizing and Estimating Distribution Inference Risks	2022	Anshuman Suri David Evans	2
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	2
+ PDF Chat	When the Curious Abandon Honesty: Federated Learning Is Not Private	2023	Franziska Boenisch Adam Dziedzic Roei Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot	2
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	1
+	Scalable Private Learning with PATE	2018	Nicolas Papernot Shuang Song Ilya Mironov Ananth Raghunathan Kunal Talwar Úlfar Erlingsson	1
+	Deep Active Learning for Named Entity Recognition	2017	Yanyao Shen Hyokun Yun Zachary C. Lipton Yakov Kronrod Animashree Anandkumar	1
+	Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates	2018	Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett	1
+	When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks	2018	Octavian Suciu Radu Mărginean Yiğitcan Kaya Hal Daumé Tudor Dumitraş	1
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	1
+ PDF Chat	Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks	2018	Kang Liu Brendan Dolan-Gavitt Siddharth Garg	1
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Spectral Signatures in Backdoor Attacks	2018	Brandon Tran Jerry Li Aleksander Mądry	1
+	Analyzing Federated Learning through an Adversarial Lens	2018	Arjun Nitin Bhagoji Supriyo Chakraborty Prateek Mittal Seraphin Calo	1
+	Certified Adversarial Robustness via Randomized Smoothing	2019	Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter	1
+ PDF Chat	Neural Machine Translation of Rare Words with Subword Units	2016	Rico Sennrich Barry Haddow Alexandra Birch	1
+ PDF Chat	Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers	2015	Giuseppe Ateniese Luigi V. Mancini Angelo Spognardi Antonio Villani Domenico Vitali Giovanni Felici	1
+	SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing	2018	Taku Kudo John T. E. Richardson	1
+ PDF Chat	Knockoff Nets: Stealing Functionality of Black-Box Models	2019	Tribhuvanesh Orekondy Bernt Schiele Mario Fritz	1
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	1
+	Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning	2018	Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett	1
+ PDF Chat	Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates	2018	Taku Kudo	1
+ PDF Chat	Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization	2017	Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil Lupu Fabio Roli	1
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+	Data Poisoning against Differentially-Private Learners: Attacks and Defenses	2019	Yuzhe Ma Xiaojin Zhu Justin Hsu	1
+	Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation	2019	Cong Xie Oluwasanmi Koyejo Indranil Gupta	1
+	Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification	2019	Harry Chia-Hung Hsu Hang Qi Matthew A. Brown	1
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh	1
+ PDF Chat	A Survey on Deep Learning for Named Entity Recognition	2020	Jing Li Aixin Sun Jianglei Han Chenliang Li	1
+ PDF Chat	CrypTFlow: Secure TensorFlow Inference	2020	Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma	1
+	Auditing Differentially Private Machine Learning: How Private is Private SGD?	2020	Matthew Jagielski Jonathan Ullman Alina Oprea	1
+ PDF Chat	Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning	2020	Renuga Kanagavelu Zengxiang Li Juniarto Samsudin Yechao Yang Feng Yang Rick Siow Mong Goh Mervyn Cheah Praewpiraya Wiwatphonthana Khajonpong Akkarajitsakul Shangguang Wang	1
+	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning	2019	Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong	1
+ PDF Chat	Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks	2021	Jinyuan Jia Xiaoyu Cao Neil Zhenqiang Gong	1
+ PDF Chat	VFL: A Verifiable Federated Learning With Privacy-Preserving for Big Data in Industrial IoT	2020	Anmin Fu Xianglong Zhang Naixue Xiong Yansong Gao Huaqun Wang Jing Zhang	1
+ PDF Chat	FaceNet: A unified embedding for face recognition and clustering	2015	Florian Schroff Dmitry Kalenichenko James Philbin	1
+ PDF Chat	ASTRA	2019	Harsh Chaudhari Ashish Choudhury Arpita Patra Ajith Suresh	1
+ PDF Chat	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning	2020	Sameer Wagh Shruti Tople Fabrice Benhamouda Eyal Kushilevitz Prateek Mittal Tal Rabin	1
+ PDF Chat	Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text	2021	Ramchandra Joshi Raviraj Joshi	1
+	Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers	2020	Giorgio Severi Jim Meyer Scott E. Coull Alina Oprea	1