POSTER: TouchTrack: How Unique are your Touch Gestures? - Rahat Masood; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Mohamed Ali Kâafar (CCS, 2017)

BehavioCog: An Observation Resistant Authentication Scheme. - Jagmohan Chauhan; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Jonathan Chan; Mohamed Ali Kâafar (Financial Cryptography, 2017)

Touch and You're Trapp(ck)ed: Quantifying the Uniqueness of Touch Gestures for Tracking. - Rahat Masood; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Mohamed Ali Kâafar (Proc. Priv. Enhancing Technol., 2018)

A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists. - Benjamin Zi Hao Zhao; Muhammad Ikram 001; Hassan Jameel Asghar; Mohamed Ali Kâafar; Abdelberi Chaabane; Kanchana Thilakarathna (AsiaCCS, 2019)

The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT. - Yuantian Miao; Benjamin Zi Hao Zhao; Minhui Xue 001; Chao Chen 015; Lei Pan 002; Jun Zhang 010; Dali Kaafar; Yang Xiang 001 (CoRR, 2019)

On Inferring Training Data Attributes in Machine Learning Models. - Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Raghav Bhaskar; Mohamed Ali Kâafar (CoRR, 2019)

Invisible Backdoor Attacks Against Deep Neural Networks. - Shaofeng Li 001; Benjamin Zi Hao Zhao; Jiahao Yu 001; Minhui Xue 001; Dali Kaafar; Haojin Zhu (CoRR, 2019)

PALOR: Poisoning Attacks Against Logistic Regression. - Jialin Wen; Benjamin Zi Hao Zhao; Minhui Xue 001; Haifeng Qian (ACISP, 2020)

Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning. - Benjamin Zi Hao Zhao; Mohamed Ali Kâafar; Nicolas Kourtellis (CCSW, 2020)

On the Resilience of Biometric Authentication Systems against Random Inputs. - Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Mohamed Ali Kâafar (NDSS, 2020)

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models. - Jialin Wen; Benjamin Zi Hao Zhao; Minhui Xue 001; Haifeng Qian (CoRR, 2020)

Deep Learning Backdoors. - Shaofeng Li 001; Shiqing Ma; Minhui Xue 001; Benjamin Zi Hao Zhao (CoRR, 2020)

Exploiting Behavioral Side Channels in Observation Resilient Cognitive Authentication Schemes. - Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Mohamed Ali Kâafar; Francesca Trevisan; Haiyue Yuan (ACM Trans. Priv. Secur., 2020)

Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. - Liuqiao Chen; Hu Wang 005; Benjamin Zi Hao Zhao; Minhui Xue 001; Haifeng Qian (ACISP, 2021)

Hidden Backdoors in Human-Centric Language Models. - Shaofeng Li 001; Hui Liu; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue 001; Haojin Zhu; Jialiang Lu (CCS, 2021)

On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models. - Benjamin Zi Hao Zhao; Aviral Agrawal; Catisha Coburn; Hassan Jameel Asghar; Raghav Bhaskar; Mohamed Ali Kâafar; Darren Webb; Peter Dickinson (EuroS&P, 2021)

MANDERA: Malicious Node Detection in Federated Learning via Ranking. - Wanchuang Zhu; Benjamin Zi Hao Zhao; Simon Luo; Ke Deng (CoRR, 2021)

The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services. - Yuantian Miao; Minhui Xue 001; Chao Chen 015; Lei Pan 002; Jun Zhang 010; Benjamin Zi Hao Zhao; Dali Kaafar; Yang Xiang 001 (Proc. Priv. Enhancing Technol., 2021)

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization. - Shaofeng Li 001; Minhui Xue 001; Benjamin Zi Hao Zhao; Haojin Zhu; Xinpeng Zhang 001 (IEEE Trans. Dependable Secur. Comput., 2021)

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models. - Jialin Wen; Benjamin Zi Hao Zhao; Minhui Xue 001; Alina Oprea; Haifeng Qian (IEEE Trans. Inf. Forensics Secur., 2021)

A deep dive into the consistently toxic 1% of Twitter. - Hina Qayyum; Benjamin Zi Hao Zhao; Ian D. Wood; Muhammad Ikram 001; Mohamed Ali Kâafar; Nicolas Kourtellis (CoRR, 2022)

SoK: Use of Cryptography in Malware Obfuscation. - Hassan Jameel Asghar; Benjamin Zi Hao Zhao; Muhammad Ikram 001; Giang Linh Duc Nguyen; Dali Kaafar; Sean Lamont; Daniel Coscia (IACR Cryptol. ePrint Arch., 2022)

Backdoors Against Natural Language Processing: A Review. - Shaofeng Li 001; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue 001; Suguo Du; Haojin Zhu (IEEE Secur. Priv., 2022)

Deep Learning Backdoors. - Shaofeng Li 001; Shiqing Ma; Minhui Xue 001; Benjamin Zi Hao Zhao (Security and Artificial Intelligence, 2022)

Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories. - Conor Atkins; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Ian D. Wood; Mohamed Ali Kâafar (ACNS (1), 2023)

Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users. - Hina Qayyum; Muhammad Ikram 001; Benjamin Zi Hao Zhao; Ian D. Wood; Nicolas Kourtellis; Mohamed Ali Kâafar (IEEE Big Data, 2023)

On mission Twitter Profiles: A Study of Selective Toxic Behavior. - Hina Qayyum; Muhammad Ikram 001; Benjamin Zi Hao Zhao; Ian D. Wood; Nicolas Kourtellis; Mohamed Ali Kâafar (IEEE Big Data, 2023)

A longitudinal study of the top 1% toxic Twitter profiles. - Hina Qayyum; Benjamin Zi Hao Zhao; Ian D. Wood; Muhammad Ikram 001; Nicolas Kourtellis; Mohamed Ali Kâafar (WebSci, 2023)

DDoD: Dual Denial of Decision Attacks on Human-AI Teams. - Benjamin Tag; Niels van Berkel; Sunny Verma; Benjamin Zi Hao Zhao; Shlomo Berkovsky; Dali Kaafar; Vassilis Kostakos; Olga Ohrimenko (IEEE Pervasive Comput., 2023)

Unintended Memorization and Timing Attacks in Named Entity Recognition Models. - Rana Salal Ali; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Tham Nguyen; Ian David Wood; Mohamed Ali Kâafar (Proc. Priv. Enhancing Technol., 2023)

On the Robustness of Malware Detectors to Adversarial Samples. - Muhammad Salman; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Muhammad Ikram 001; Sidharth Kaushik; Mohamed Ali Kâafar (ESORICS Workshops (2), 2024)

PPDL: Efficient Dropout-Resilient Aggregation for Privacy-Preserving Decentralized Learning. - Ali Reza Ghavamipour; Benjamin Zi Hao Zhao; Fatih Turkmen (NSS, 2024)

LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Minhui Xue 001 (SP, 2024)

DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Qi Alfred Chen; Minhui Xue 001 (USENIX Security Symposium, 2024)

On Adversarial Training with Incorrect Labels. - Benjamin Zi Hao Zhao; Junda Lu 001; Xiaowei Zhou 003; Dinusha Vatsalan; Muhammad Ikram 001; Mohamed Ali Kâafar (WISE (4), 2024)

Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness. - Ali Reza Ghavamipour; Benjamin Zi Hao Zhao; Oguzhan Ersoy; Fatih Turkmen (CoRR, 2024)

Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning. - Ali Reza Ghavamipour; Benjamin Zi Hao Zhao; Fatih Turkmen (CoRR, 2024)

GPTs Window Shopping: An analysis of the Landscape of Custom ChatGPT Models. - Benjamin Zi Hao Zhao; Muhammad Ikram 001; Mohamed Ali Kâafar (CoRR, 2024)

SenTopX: Benchmark for User Sentiment on Various Topics. - Hina Qayyum; Muhammad Ikram 001; Benjamin Zi Hao Zhao; Ian D. Wood; Mohamad Ali Kâafar; Nicolas Kourtellis (CoRR, 2024)

Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions. - Robin Carpentier; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Dali Kaafar (CoRR, 2024)

dX-Privacy for Text and the Curse of Dimensionality. - Hassan Jameel Asghar; Robin Carpentier; Benjamin Zi Hao Zhao; Dali Kaafar (CoRR, 2024)

Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs. - Chenhan Zhang; Benjamin Zi Hao Zhao; Hassan Asghar 001; Dali Kaafar (CoRR, 2024)

Use of cryptography in malware obfuscation. - Hassan Jameel Asghar; Benjamin Zi Hao Zhao; Muhammad Ikram 001; Giang Linh Duc Nguyen; Dali Kaafar; Sean Lamont; Daniel Coscia (J. Comput. Virol. Hacking Tech., 2024)

Facing the Challenge of Leveraging Untrained Humans in Malware Analysis. - Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Muhammad Ikram 001; Mohamed Ali Kâafar; Sean Lamont; Daniel Coscia (SEC (1), 2025)

A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem. - Sunday Oyinlola Ogundoyin; Muhammad Ikram 001; Hassan Jameel Asghar; Benjamin Zi Hao Zhao; Dali Kaafar (CoRR, 2025)