Anshuman Suri - RankMe

40 papers A* 4B 2Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Identifying Models Behind Text-to-Image Leaderboards. CoRR Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2026	J	`jnl`	The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data. CoRR Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini
2026	J	`jnl`	ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset. CoRR Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2025	J	`jnl`	DROP: Poison Dilution via Knowledge Distillation for Federated Learning. CoRR Georgios Syros, Anshuman Suri, Farinaz Koushanfar, Cristina Nita-Rotaru, Alina Oprea
2025	J	`jnl`	Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. CoRR Anshuman Suri, Harsh Chaudhari, Yuefeng Peng, Ali Naseh, Amir Houmansadr, Alina Oprea
2025	J	`jnl`	LLM Jailbreak Oracle. CoRR Shuyi Lin, Anshuman Suri, Alina Oprea, Cheng Tan
2025	A*	`conf`	Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. CCS Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2025	J	`jnl`	Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. CoRR Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2025	J	`jnl`	SAGA: A Security Architecture for Governing AI Agentic Systems. CoRR Georgios Syros, Anshuman Suri, Cristina Nita-Rotaru, Alina Oprea
2025	J	`jnl`	Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security. CoRR Ali Naseh, Anshuman Suri, Yuefeng Peng, Harsh Chaudhari, Alina Oprea, Amir Houmansadr
2024	J	`jnl`	Do Membership Inference Attacks Work on Large Language Models? CoRR Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
2024	J	`jnl`	Do Parameters Reveal More than Loss for Membership Inference? CoRR Anshuman Suri, Xiao Zhang, David Evans
2024	J	`jnl`	Do Parameters Reveal More than Loss for Membership Inference? Trans. Mach. Learn. Res. Anshuman Suri, Xiao Zhang, David Evans
2024	—	`conf`	SoK: Pitfalls in Evaluating Black-Box Attacks. SaTML Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
2023	—	`conf`	Dissecting Distribution Inference. SaTML Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
2023	A*	`conf`	Manipulating Transfer Learning for Property Inference. CVPR Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans
2023	J	`jnl`	Manipulating Transfer Learning for Property Inference. CoRR Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans
2023	A*	`conf`	SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
2023	J	`jnl`	SoK: Memorization in General-Purpose Large Language Models. CoRR Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
2023	J	`jnl`	SoK: Pitfalls in Evaluating Black-Box Attacks. CoRR Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans
2022	J	`jnl`	Dissecting Distribution Inference. CoRR Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
2022	J	`jnl`	Formalizing and Estimating Distribution Inference Risks. Proc. Priv. Enhancing Technol. Anshuman Suri, David Evans
2022	J	`jnl`	SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin
2022	J	`jnl`	Subject Membership Inference Attacks in Federated Learning. CoRR Anshuman Suri, Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson
2021	J	`jnl`	Formalizing Distribution Inference Risks. CoRR Anshuman Suri, David Evans
2021	J	`jnl`	Formalizing and Estimating Distribution Inference Risks. CoRR Anshuman Suri, David Evans
2021	A*	`conf`	Model-Targeted Poisoning Attacks with Provable Convergence. ICML Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian
2020	J	`jnl`	A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise Based Inter-Domain Knowledge. IEEE Trans. Biom. Behav. Identity Sci. Anshuman Suri, Mayank Vatsa, Richa Singh
2020	J	`jnl`	One Neuron to Fool Them All. CoRR Anshuman Suri, David Evans
2020	—	`conf`	QnAMaker: Data to Bot in 2 Minutes. WWW (Companion Volume) Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Somi Reddy Satti, Niranjan Nayak, Neha Rajput
2020	J	`jnl`	QnAMaker: Data to Bot in 2 Minutes. CoRR Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Neha Rajput, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Reddy Satti, Niranjan Nayak
2019	—	`conf`	A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge. BTAS Anshuman Suri, Mayank Vatsa, Richa Singh
2019	B	`conf`	Hardening Deep Neural Networks via Adversarial Model Cascades. IJCNN Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
2019	—	`conf`	Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. ACL (3) Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
2019	—	`conf`	NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. SemEval@NAACL-HLT Parag Agrawal, Anshuman Suri
2019	J	`jnl`	NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. CoRR Parag Agrawal, Anshuman Suri
2018	J	`jnl`	A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots. CoRR Parag Agrawal, Anshuman Suri, Tulasi Menon
2018	J	`jnl`	Hardening Deep Neural Networks via Adversarial Model Cascades. CoRR Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
2017	B	`conf`	Towards Understanding Crisis Events On Online Social Networks Through Pictures. ASONAM Prateek Dewan, Anshuman Suri, Varun Bharadhwaj, Aditi Mithal, Ponnurangam Kumaraguru
2016	J	`jnl`	Visual Themes and Sentiment on Social Networks To Aid First Responders During Crisis Events. CoRR Prateek Dewan, Varun Bharadhwaj, Aditi Mithal, Anshuman Suri, Ponnurangam Kumaraguru