Cloud Security Auditing: Challenges and Emerging Approaches. - Jungwoo Ryoo; Syed Rizvi 001; William Aiken; John Kissell (IEEE Secur. Priv., 2014)

KaaSP: keying as a service provider for small and medium enterprises using untrusted cloud services. - William Aiken; Jungwoo Ryoo; Hyoungshick Kim (IMCOM, 2015)

Bypassing the Integrity Checking of Rights Objects in OMA DRM: a Case Study with the MelOn Music Service. - Jusop Choi; William Aiken; Jungwoo Ryoo; Hyoungshick Kim (IMCOM, 2016)

POSTER: DeepCRACk: Using Deep Learning to Automatically CRack Audio CAPTCHAs. - William Aiken; Hyoungshick Kim (AsiaCCS, 2018)

POSTER: I Can't Hear This Because I Am Human: A Novel Design of Audio CAPTCHA System. - Jusop Choi; Taekkyung Oh; William Aiken; Simon S. Woo; Hyoungshick Kim (AsiaCCS, 2018)

Ignore the Noise: Using Autoencoders against Adversarial Attacks in Reinforcement Learning (Lightning Talk). - William Aiken; Hyoungshick Kim (ICSSA, 2018)

Hey Siri - Are You There?: Jamming of Voice Commands Using the Resonance Effect (Work-in-Progress). - Taekkyung Oh; William Aiken; Hyoungshick Kim (ICSSA, 2018)

An Implementation and Evaluation of Progressive Authentication Using Multiple Level Pattern Locks. - William Aiken; Hyoungshick Kim; Jungwoo Ryoo; Mary Beth Rosson (PST, 2018)

A security evaluation framework for cloud security auditing. - Syed Rizvi 001; Jungwoo Ryoo; John Kissell; William Aiken; Yuhong Liu (J. Supercomput., 2018)

The Light Will Be with You. Always - A Novel Continuous Mobile Authentication with the Light Sensor. - Mohsen Ali Alawami; William Aiken; Hyoungshick Kim (MobiSys, 2019)

An Internet of Things (IoT) Security Assessment for Households. - William Aiken; Jungwoo Ryoo; Syed Rizvi 001 (ICSSA, 2020)

Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks. - William Aiken; Hyoungshick Kim; Simon S. Woo (CoRR, 2020)

Neural network laundering: Removing black-box backdoor watermarks from deep neural networks. - William Aiken; Hyoungshick Kim; Simon S. Woo; Jungwoo Ryoo (Comput. Secur., 2021)

Attack of the Clones: Measuring the Maintainability, Originality and Security of Bitcoin 'Forks' in the Wild. - Jusop Choi; Wonseok Choi 007; William Aiken; Hyoungshick Kim; Jun Ho Huh; Taesoo Kim; Yongdae Kim; Ross J. Anderson (CoRR, 2022)

Going Haywire: False Friends in Federated Learning and How to Find Them. - William Aiken; Paula Branco; Guy-Vincent Jourdan (AsiaCCS, 2023)

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. - William Aiken; Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Mehrdad Sabetzadeh; Herna L. Viktor (TechDebt@ICSE, 2023)

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. - William Aiken; Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Mehrdad Sabetzadeh; Herna L. Viktor (CoRR, 2023)

DevilDiffusion: Embedding Hidden Noise Backdoors into Diffusion Models. - William Aiken; Paula Branco; Guy-Vincent Jourdan (PST, 2024)

Strategic Digitalization in Oil and Gas: A Case Study on Mixed Reality and Digital Twins. - William Aiken; Lila Carden; Azmeen Bhabhrawala; Paula Branco; Guy-Vincent Jourdan; Adam Berg (IEEE Access, 2024)

Lost in the Noise: Evading and Detecting Backdoors in Conditional Diffusion Models. - William Aiken; Paula Branco; Guy-Vincent Jourdan (IEA/AIE (1), 2025)