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20192022
most citedBeyond clipping: Equalization-based Psychoacoustic Attacks against ASRs

6 citations · 12 across the 6 of their papers we have counts for

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cs.CR20221 cited

Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems

Hadi Abdullah, Aditya Karlekar, Saurabh Prasad +5

Audio CAPTCHAs are supposed to provide a strong defense for online resources; however, advances in speech-to-text mechanisms have rendered these defenses ineffective. Audio CAPTCHA…

cs.CR20216 cited

Beyond clipping: Equalization-based Psychoacoustic Attacks against ASRs

Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters +5

Automatic Speech Recognition (ASR) systems convert speech into text and can be placed into two broad categories: traditional and fully end-to-end. Both types have been shown to be…

cs.CR20203 cited

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems

Hadi Abdullah, Kevin Warren, Vincent Bindschaedler +2

Speech and speaker recognition systems are employed in a variety of applications, from personal assistants to telephony surveillance and biometric authentication. The wide deployme…

cs.CR20191 cited

Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems

Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia +5

Automatic speech recognition and voice identification systems are being deployed in a wide array of applications, from providing control mechanisms to devices lacking traditional i…

cs.CR2019

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

Hadi Abdullah, Washington Garcia, Christian Peeters +3

Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning. However, adversari…