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AI assistants are becoming an integral part of society, used for asking advice or help in personal and confidential issues.
Crime: Compression ratio info-leak made easy
Juliano Rizzo and Thai Duong · 2012
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A survey of man in the middle attacks
Mauro Conti, Nicola Dragoni, and Viktor Lesyk · 2016
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Fingerprinting keywords in search queries over tor
Se Eun Oh, Shuai Li, and Nicholas Hopper · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Stealing neural networks via timing side channels
Vasisht Duddu, Debasis Samanta, D Vijay Rao, and Valentina E Balas · 2018
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Security analysis of deep neural networks operating in the presence of cache side-channel attacks
Sanghyun Hong, Michael Davinroy, Yiǧitcan Kaya, Stuart Nevans Locke, Ian Rackow, Kevin Kulda, Dana Dachman-Soled, and Tudor Dumitraş · 2018
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Reverse engineering convolutional neural networks through side-channel information leaks
Weizhe Hua, Zhiru Zhang, and G Edward Suh · 2018
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I know what you see: Power side-channel attack on convolutional neural network accelerators
Lingxiao Wei, Bo Luo, Yu Li, Yannan Liu, and Qiang Xu · 2018
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What are you searching for? a remote keylogging attack on search engine autocomplete
John V Monaco · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych · 2019
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Deep learning for side-channel analysis and introduction to ascad database
Ryad Benadjila, Emmanuel Prouff, Rémi Strullu, Eleonora Cagli, and Cécile Dumas · 2020
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The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al · 2020
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Reverse-engineering deep neural networks using floating-point timing side-channels
Cheng Gongye, Yunsi Fei, and Thomas Wahl · 2020
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How to 0wn nas in your spare time
Sanghyun Hong, Michael Davinroy, Yiğitcan Kaya, Dana Dachman-Soled, and Tudor Dumitraş · 2020
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Deepsniffer: A dnn model extraction framework based on learning architectural hints
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, et al · 2020
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Recent advances in deep learning-based side-channel analysis
Sunghyun Jin, Suhri Kim, HeeSeok Kim, and Seokhie Hong · 2020
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Ganred: Gan-based reverse engineering of dnns via cache side-channel
Yuntao Liu and Ankur Srivastava · 2020
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Quantifying memorization across neural language models
Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramer, and Chiyuan Zhang · 2022
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Vocabulary modifications for domain-adaptive pretraining of clinical language models
Anastasios Lamproudis, Aron Henriksson, and Hercules Dalianis · 2022
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A review and comparison of ai-enhanced side channel analysis
Max Panoff, Honggang Yu, Haoqi Shan, and Yier Jin · 2022
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Taxonomy of risks posed by language models
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, et al · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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A comprehensive study of deep learning for side-channel analysis
Loïc Masure, Cécile Dumas, and Emmanuel Prouff · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
Cited alongside, same era.
Ping Wang, Ping Chen, Zhimin Luo, Gaofeng Dong, Mengce Zheng, Nenghai Yu, and Honggang Hu · 2020
Cited alongside, same era.
Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, and Ming Zhou · 2020
Cited alongside, same era.
Cache telepathy: Leveraging shared resource attacks to learn { \{ DNN } \} architectures
Mengjia Yan, Christopher W Fletcher, and Josep Torrellas · 2020
Cited alongside, same era.
Deepem: Deep neural networks model recovery through em side-channel information leakage
Honggang Yu, Haocheng Ma, Kaichen Yang, Yiqiang Zhao, and Yier Jin · 2020
Cited alongside, same era.
Bicycle attacks considered harmful: Quantifying the damage of widespread password length leakage
Benjamin Harsha, Robert Morton, Jeremiah Blocki, John Springer, and Melissa Dark · 2021
Cited alongside, same era.
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Chatgpt: Cyber security threats and countermeasures
Samuel Addington · 2023
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Privacy side channels in machine learning systems
Edoardo Debenedetti, Giorgio Severi, Nicholas Carlini, Christopher A Choquette-Choo, Matthew Jagielski, Milad Nasr, Eric Wallace, and Florian Tramèr · 2023
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Enhancing chat language models by scaling high-quality instructional conversations
Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, and Bowen Zhou · 2023
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Scalable extraction of training data from (production) language models
Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A Feder Cooper, Daphne Ippolito, Christopher A Choquette-Choo, Eric Wallace, Florian Tramèr, and Katherine Lee · 2023
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Sok: Deep learning-based physical side-channel analysis
Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, and Lejla Batina · 2023
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A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Eric Sun, and Yue Zhang · 2023
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Instruction tuning for large language models: A survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, et al · 2023
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