Contributed by Yuekai Zhang.
| Section | Description |
|---|---|
| Background | Papers on adversarial samples |
| Attack | Papers on attack |
| Defense | Papers on defense |
| Adversarial Trainning | Papers on using adversarial samples trainning |
| Something Fun | Interesting papers |
- Explaining and Harnessing Adversarial Examples. Ian J. Goodfellow, Jonathon Shlens & Christian Szegedy. ICLR 2014. [pdf]
- Towards Evaluating the Robustness of Neural Networks. Nicholas Carlini, David Wagner. SP 2017. [pdf]
- Adversarial Attacks on Spoofing Countermeasures of Automatic Speaker Verification. Songxiang Liu, Haibin Wu, Hung-yi Lee, Helen Meng. ASRU 2019. [pdf][code]
- Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. Yao Qin,Nicholas Carlini,Ian Goodfellow,Garrison Cottrell,Colin Raffel. ICML 2019. [pdf] [website]
- Universal Adversarial Perturbations for Speech Recognition Systems. Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar. INTERSPEECH 2019. [pdf] [website]
- Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization. Shreya Khare, Rahul Aralikatte, Senthil Mani. INTERSPEECH 2019. [pdf] [website]
- CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition. Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang , XiaoFeng Wang, and Carl A. Gunter. USENIX Security 2018. [pdf] [website]
- Cocaine Noodles: Exploiting the Gap between Human and Machine Speech Recognition. Tavish Vaidya, Yuankai Zhang, Micah Sherr, Clay Shields. WOOT 2015. [pdf]
- Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems. Hadi Abdullah, Washington Garcia, Christian Peeters, Patrick Traynor, Kevin R. B. Butler and Joseph Wilson. NDSS 2019. [pdf]
- Universal Adversarial Audio Perturbations. Sajjad Abdoli, Luiz G.Hafemann, Jerome Rony, Ismail BenAyed, Patrick Cardinal, Alessandro L.Koerich, . ArXiv 2018. [pdf]
- Robust Audio Adversarial Example for a Physical Attack. Hiromu Yakura,Jun Sakuma. IJCAI 2019. [pdf]
- Targeted Adversarial Examples for Black Box Audio Systems. Rohan Taori, Amog Kamsetty, Brenton Chu and Nikita Vemuri. ArXiv 2018. [pdf]
- Did you hear that? Adversarial Examples Against Automatic Speech Recognition. Moustafa Alzantot, Bharathan Balaji, Mani Srivastava. ArXiv 2018. [pdf]
- Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding. Rohan Taori, Amog Kamsetty, Brenton Chu and Nikita Vemuri. NDSS 2019. [pdf]
- Perceptual Based Adversarial Audio Attacks. Joseph Szurley, J. Zico Kolter,. ArXiv 2019. [pdf]
- Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems. Lea Sch¨onherr, Steffen Zeiler, Thorsten Holz, and Dorothea Kolossa. ArXiv 2019. [pdf]
- Audio adversarial examples: Targeted attacks on speech-to-text. Nicholas Carlini,David Wagner. SPW 2018. [pdf]
- Hidden Voice Commands. Nicholas Carlini, Pratyush Mishra, Tavish Vaidya, Yuankai Zhang, Micah Sherr, Clay Shields, David Wagner, Wenchao Zhou, . USENIX Security 2016. [pdf]
- Characterizing Audio Adversarial Examples Using Temporal Dependency. Zhuolin Yang , Bo Li , Pin-Yu Chen , Dawn Song . ICLR 2018. [pdf]
- Adversarial Examples for Improving End-to-end Attention-based Small-footprint Keyword Spotting. Xiong Wang, Sining Sun, Changhao Shan, Jingyong Hou, Lei Xie†, Shen Li, Xin Lei. ICASSP 2019. [pdf]
- Training augmentation with adversarial examples for robust speech recognition. Sining Sun , Ching-Feng Yeh, Mari Ostendorf, Mei-Yuh Hwang, Lei Xie. INTERSPEECH 2018. [pdf]
- Adversarial Examples Are Not Bugs, They Are Features. Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry. Arxiv 2019. [pdf]