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ORCIDEugene Bagdasarian
Person information
- affiliation: University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA
- affiliation (PhD 2023): Cornell University, Cornell Tech, New York City, NY, USA
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Journal Articles
- 2022
[j1]Eugene Bagdasaryan, Peter Kairouz, Stefan Mellem
, Adrià Gascón, Kallista A. Bonawitz, Deborah Estrin, Marco Gruteser:
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation. Proc. Priv. Enhancing Technol. 2022(4): 162-182 (2022)
Conference and Workshop Papers
- 2024
- [c9]Tingwei Zhang, Rishi D. Jha, Eugene Bagdasaryan, Vitaly Shmatikov:
Adversarial Illusions in Multi-Modal Embeddings. USENIX Security Symposium 2024 - 2022
- [c8]Eugene Bagdasaryan, Vitaly Shmatikov:
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures. SP 2022: 769-786 - 2021
- [c7]Eugene Bagdasaryan, Vitaly Shmatikov:
Blind Backdoors in Deep Learning Models. USENIX Security Symposium 2021: 1505-1521 - 2020
- [c6]Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov:
How To Backdoor Federated Learning. AISTATS 2020: 2938-2948 - 2019
- [c5]Zhiming Shen, Zhen Sun, Gur-Eyal Sela, Eugene Bagdasaryan, Christina Delimitrou, Robbert van Renesse, Hakim Weatherspoon:
X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers. ASPLOS 2019: 121-135 - [c4]Eugene Bagdasaryan, Omid Poursaeed, Vitaly Shmatikov:
Differential Privacy Has Disparate Impact on Model Accuracy. NeurIPS 2019: 15453-15462 - [c3]Eugene Bagdasaryan, Griffin Berlstein, Jason Waterman, Eleanor Birrell, Nate Foster, Fred B. Schneider, Deborah Estrin:
Ancile: Enhancing Privacy for Ubiquitous Computing with Use-Based Privacy. WPES@CCS 2019: 111-124 - 2018
- [c2]Longqi Yang, Eugene Bagdasaryan, Hongyi Wen:
Modularizing deep neural network-inspired recommendation algorithms. RecSys 2018: 533-534 - [c1]Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin:
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms. WSDM 2018: 664-672
Informal and Other Publications
- 2024
- [i17]Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage:
Air Gap: Protecting Privacy-Conscious Conversational Agents. CoRR abs/2405.05175 (2024) - [i16]Ali Naseh, Jaechul Roh, Eugene Bagdasaryan, Amir Houmansadr:
Injecting Bias in Text-To-Image Models via Composite-Trigger Backdoors. CoRR abs/2406.15213 (2024) - [i15]Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan:
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. CoRR abs/2407.00106 (2024) - [i14]Tingwei Zhang, Collin Zhang, John X. Morris, Eugene Bagdasaryan, Vitaly Shmatikov:
Soft Prompts Go Hard: Steering Visual Language Models with Hidden Meta-Instructions. CoRR abs/2407.08970 (2024) - [i13]Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle:
Operationalizing Contextual Integrity in Privacy-Conscious Assistants. CoRR abs/2408.02373 (2024) - 2023
- [i12]Eugene Bagdasaryan, Vitaly Shmatikov:
Hyperparameter Search Is All You Need For Training-Agnostic Backdoor Robustness. CoRR abs/2302.04977 (2023) - [i11]Eugene Bagdasaryan, Tsung-Yin Hsieh, Ben Nassi, Vitaly Shmatikov:
(Ab)using Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs. CoRR abs/2307.10490 (2023) - [i10]Eugene Bagdasaryan, Vitaly Shmatikov:
Ceci n'est pas une pomme: Adversarial Illusions in Multi-Modal Embeddings. CoRR abs/2308.11804 (2023) - [i9]Sze Jue Yang, Chinh D. La, Quang H. Nguyen, Eugene Bagdasaryan, Kok-Seng Wong, Anh Tuan Tran, Chee Seng Chan, Khoa D. Doan:
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models. CoRR abs/2312.03419 (2023) - 2022
- [i8]Eugene Bagdasaryan, Congzheng Song, Rogier C. van Dalen, Matt Seigel, Áine Cahill:
Training a Tokenizer for Free with Private Federated Learning. CoRR abs/2203.09943 (2022) - 2021
- [i7]Eugene Bagdasaryan, Peter Kairouz, Stefan Mellem, Adrià Gascón, Kallista A. Bonawitz, Deborah Estrin, Marco Gruteser:
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation. CoRR abs/2111.02356 (2021) - [i6]Eugene Bagdasaryan, Vitaly Shmatikov:
Spinning Language Models for Propaganda-As-A-Service. CoRR abs/2112.05224 (2021) - 2020
- [i5]Tao Yu, Eugene Bagdasaryan, Vitaly Shmatikov:
Salvaging Federated Learning by Local Adaptation. CoRR abs/2002.04758 (2020) - [i4]Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman, Mohamad Mounir Safadieh, Hamed Haddadi, Deborah Estrin:
Decentralized Policy-Based Private Analytics. CoRR abs/2003.06612 (2020) - [i3]Eugene Bagdasaryan, Vitaly Shmatikov:
Blind Backdoors in Deep Learning Models. CoRR abs/2005.03823 (2020) - 2019
- [i2]Eugene Bagdasaryan, Vitaly Shmatikov:
Differential Privacy Has Disparate Impact on Model Accuracy. CoRR abs/1905.12101 (2019) - 2018
- [i1]Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov:
How To Backdoor Federated Learning. CoRR abs/1807.00459 (2018)
Coauthor Index
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