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Andrew Paverd

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Giovanni Cherubin

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Publications

2025
[c34]
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Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Get My Drift? Catching LLM Task Drift with Activation Deltas. SaTML 2025: 43-67
[i32]
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  - journals/corr/abs-2506-09956
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Sahar Abdelnabi, Aideen Fay, Ahmed Salem, Egor Zverev, Kai-Chieh Liao, Chi-Huang Liu, Chun-Chih Kuo, Jannis Weigend, Danyael Manlangit, Alex Apostolov, Haris Umair, João Donato, Masayuki Kawakita, Athar Mahboob, Tran Huu Bach, Tsun-Han Chiang, Myeongjin Cho, Hajin Choi, Byeonghyeon Kim, Hyeonjin Lee, Benjamin Pannell, Conor McCauley, Mark Russinovich, Andrew Paverd, Giovanni Cherubin:
LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge. CoRR abs/2506.09956 (2025)
[i31]
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  - journals/corr/abs-2508-02872
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Giovanni Cherubin, Andrew Paverd:
Highlight & Summarize: RAG without the jailbreaks. CoRR abs/2508.02872 (2025)
2024
[c33]
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Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin:
Closed-Form Bounds for DP-SGD against Record-level Inference. USENIX Security Symposium 2024
[i30]
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  - journals/corr/abs-2402-14397
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Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin:
Closed-Form Bounds for DP-SGD against Record-level Inference. CoRR abs/2402.14397 (2024)
[i29]
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  - journals/corr/abs-2406-00799
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Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. CoRR abs/2406.00799 (2024)
2023
[c30]
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Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin:
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. SP 2023: 327-345
2022
[i18]
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  - journals/corr/abs-2212-10986
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Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin:
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. CoRR abs/2212.10986 (2022)

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