E-LIB Suche - Ergebnisse für: Bagdasaryan, Eugene

1

Towards Sparse Federated Analytics: Location Heatmaps under..:

Bagdasaryan, Eugene ; Kairouz, Peter ; Mellem, Stefan...
Proceedings on Privacy Enhancing Technologies. 2022 (2022) 4 - p. 162-182 , 2022

Link: https://doi.org/10.56553..

2

Spinning Language Models: Risks of Propaganda-As-A-Service ..:

, In: 2022 IEEE Symposium on Security and Privacy (SP),

Bagdasaryan, Eugene ; Shmatikov, Vitaly - p. 769-786 , 2022

Link: https://doi.org/10.1109/..

3

X-Containers : Breaking Down Barriers to Improve Perform..:

, In: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems,

Shen, Zhiming ; Sun, Zhen ; Sela, Gur-Eyal... - p. 121-135 , 2019

Link: https://dl.acm.org/doi/1..

4

Ancile : Enhancing Privacy for Ubiquitous Computing with..:

, In: Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society,

Bagdasaryan, Eugene ; Berlstein, Griffin ; Waterman, Jason... - p. 111-124 , 2019

Link: https://dl.acm.org/doi/1..

5

OpenRec : A Modular Framework for Extensible and Adaptab..:

, In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining,

Yang, Longqi ; Bagdasaryan, Eugene ; Gruenstein, Joshua.. - p. 664-672 , 2018

Link: https://dl.acm.org/doi/1..

6

Modularizing deep neural network-inspired recommendation al..:

, In: Proceedings of the 12th ACM Conference on Recommender Systems,

Yang, Longqi ; Bagdasaryan, Eugene ; Wen, Hongyi - p. 533-534 , 2018

Link: https://dl.acm.org/doi/1..

7

Mithridates: Auditing and Boosting Backdoor Resistance of M..:

Bagdasaryan, Eugene ; Shmatikov, Vitaly
http://arxiv.org/abs/2302.04977. , 2023

Link: http://arxiv.org/abs/230..

8

Synthesizing Physical Backdoor Datasets: An Automated Frame..:

Yang, Sze Jue ; La, Chinh D ; Nguyen, Quang H...
http://arxiv.org/abs/2312.03419. , 2023

Link: http://arxiv.org/abs/231..

9

Abusing Images and Sounds for Indirect Instruction Injectio..:

Bagdasaryan, Eugene ; Hsieh, Tsung-Yin ; Nassi, Ben.
http://arxiv.org/abs/2307.10490. , 2023

Link: http://arxiv.org/abs/230..

10

Adversarial Illusions in Multi-Modal Embeddings:

Bagdasaryan, Eugene ; Jha, Rishi ; Zhang, Tingwei.
http://arxiv.org/abs/2308.11804. , 2023

Link: http://arxiv.org/abs/230..

11

Training a Tokenizer for Free with Private Federated Learni..:

Bagdasaryan, Eugene ; Song, Congzheng ; van Dalen, Rogier..
http://arxiv.org/abs/2203.09943. , 2022

Link: http://arxiv.org/abs/220..

12

Spinning Sequence-to-Sequence Models with Meta-Backdoors:

Bagdasaryan, Eugene ; Shmatikov, Vitaly
http://arxiv.org/abs/2107.10443. , 2021

Link: http://arxiv.org/abs/210..

13

Spinning Language Models: Risks of Propaganda-As-A-Service ..:

Bagdasaryan, Eugene ; Shmatikov, Vitaly
http://arxiv.org/abs/2112.05224. , 2021

Link: http://arxiv.org/abs/211..

14

Towards Sparse Federated Analytics: Location Heatmaps under..:

Bagdasaryan, Eugene ; Kairouz, Peter ; Mellem, Stefan...
http://arxiv.org/abs/2111.02356. , 2021

Link: http://arxiv.org/abs/211..

15

Salvaging Federated Learning by Local Adaptation:

Yu, Tao ; Bagdasaryan, Eugene ; Shmatikov, Vitaly
http://arxiv.org/abs/2002.04758. , 2020

Link: http://arxiv.org/abs/200..