Publications (29)
Dynamic Provable Data Possession Protocols with Public Verifiability and Data Privacy
Clementine Gritti, Rongmao Chen, Willy Susilo +1
Cloud storage services have become accessible and used by everyone. Nevertheless, stored data are dependable on the behavior of the cloud servers, and losses and damages often occu…
Lattice-based Signcryption with Equality Test in Standard Model
Huy Quoc Le, Dung Hoang Duong, Partha Sarathi Roy +3
A signcryption, which is an integration of a public key encryption and a digital signature, can provide confidentiality and authenticity simultaneously. Additionally, a signcryptio…
Lattice-based Unidirectional IBPRE Secure in Standard Model
Priyanka Dutta, Willy Susilo, Dung Hoang Duong +2
Proxy re-encryption (PRE) securely enables the re-encryption of ciphertexts from one key to another, without relying on trusted parties, i.e., it offers delegation of decryption ri…
RAID: Refusal-Aware and Integrated Decoding for Jailbreaking LLMs
Tuan T. Nguyen, John Le, Thai T. Vu +2
Large language models (LLMs) achieve impressive performance across diverse tasks yet remain vulnerable to jailbreak attacks that bypass safety mechanisms. We present RAID (Refusal-…
Lattice-based public key encryption with equality test supporting flexible authorization in standard model
Dung Hoang Duong, Kazuhide Fukushima, Shinsaku Kiyomoto +3
Public key encryption with equality test (PKEET) supports to check whether two ciphertexts encrypted under different public keys contain the same message or not. PKEET has many int…
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
Kien Do, Haripriya Harikumar, Hung Le +6
Trojan attacks on deep neural networks are both dangerous and surreptitious. Over the past few years, Trojan attacks have advanced from using only a single input-agnostic trigger a…
A Blockchain-based Self-tallying Voting Scheme in Decentralized IoT
Yannan Li, Willy Susilo, Guomin Yang +3
The Internet of Things (IoT) is experiencing explosive growth and has gained extensive attention from academia and industry in recent years. Most of the existing IoT infrastructure…
A Cross-graph Tuning-free GNN Prompting Framework
Yaqi Chen, Shixun Huang, Ryan Twemlow +6
GNN prompting aims to adapt models across tasks and graphs without requiring extensive retraining. However, most existing graph prompt methods still require task-specific parameter…
New Permutation Decomposition Techniques for Efficient Homomorphic Permutation
Xirong Ma, Junling Fang, Chunpeng Ge +5
Homomorphic permutation is fundamental to privacy-preserving computations based on batch-encoding homomorphic encryption. It underpins nearly all homomorphic matrix operations and…
Trapdoor Delegation and HIBE from Middle-Product LWE in Standard Model
Huy Quoc Le, Dung Hoang Duong, Willy Susilo +1
At CRYPTO 2017, Rosca, Sakzad, Stehle and Steinfeld introduced the Middle--Product LWE (MPLWE) assumption which is as secure as Polynomial-LWE for a large class of polynomials, mak…
Privacy-Enhancing Encryption in Data Sharing: A Survey on Security, Performance and Functionality
Yongyang Lv, Xiaohong Li, Ruitao Feng +5
The vigorous development of the Internet has spurred exponential data growth, yet data is predominantly stored in isolated user entities, hampering its full value realization. In l…
The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption
Tianyang Chen, Peng Xu, Stjepan Picek +4
Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without los…
A Model-Driven Approach to Reengineering Processes in Cloud Computing
Mahdi Fahmideh, John Grundy, Ghassan Beydoun +3
The reengineering process of large data-intensive legacy software applications to cloud platforms involves different interrelated activities. These activities are related to planni…
Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
Yongqi Jiang, Yansong Gao, Chunyi Zhou +3
With the growing applications of Deep Learning (DL), especially recent spectacular achievements of Large Language Models (LLMs) such as ChatGPT and LLaMA, the commercial significan…
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences
Shang Wang, Yansong Gao, Anmin Fu +4
As a critical threat to deep neural networks (DNNs), backdoor attacks can be categorized into two types, i.e., source-agnostic backdoor attacks (SABAs) and source-specific backdoor…
Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Zhongyi Hu, Raymond Chiong, Ilung Pranata +2
Malicious web domains represent a big threat to web users' privacy and security. With so much freely available data on the Internet about web domains' popularity and performance, t…
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning
Hao Wang, Zhi Li, Chunpeng Ge +1
Cooperative learning, that enables two or more data owners to jointly train a model, has been widely adopted to solve the problem of insufficient training data in machine learning.…
Lattice Blind Signatures with Forward Security
Huy Quoc Le, Dung Hoang Duong, Willy Susilo +4
Blind signatures play an important role in both electronic cash and electronic voting systems. Blind signatures should be secure against various attacks (such as signature forgerie…
Lattice-based IBE with Equality Test Supporting Flexible Authorization in the Standard Model
Giang L. D. Nguyen, Willy Susilo, Dung Hoang Duong +2
Identity-based encryption with equality test supporting flexible authorization (IBEET-FA) allows the equality test of underlying messages of two ciphertexts while strengthens priva…
FusionVul: A Multimodal Feature Fusion Framework for Source Code Vulnerability Detection
Hongyu Yang, Yaping Zhu, Jingchuan Luo +3
Source code vulnerability detection remains a long-standing challenge due to the increasing scale, structural complexity, and semantic diversity of modern codebases. Conventional s…
Publicly Verifiable Secret Sharing: Generic Constructions and Lattice-Based Instantiations in the Standard Model
Pham Nhat Minh, Khoa Nguyen, Willy Susilo +1
Publicly verifiable secret sharing (PVSS) allows a dealer to share a secret among a set of shareholders so that the secret can be reconstructed later from any set of qualified part…
Software Engineering for Internet of Things: The Practitioner's Perspective
Mahdi Fahmideh, Aakash Ahmed, Ali Behnaz +2
Internet of Things based systems (IoT systems for short) are becoming increasingly popular across different industrial domains and their development is rapidly increasing to provid…
Puncturable Encryption: A Generic Construction from Delegatable Fully Key-Homomorphic Encryption
Willy Susilo, Dung Hoang Duong, Huy Quoc Le +1
Puncturable encryption (PE), proposed by Green and Miers at IEEE S&P 2015, is a kind of public key encryption that allows recipients to revoke individual messages by repeatedly upd…
Traceable Signatures from Lattices
Nam Tran, Khoa Nguyen, Dongxi Liu +2
Traceable signatures (Kiayas et al., EUROCRYPT 2004) is an anonymous digital signature system that extends the tracing power of the opening authority in group signatures. There are…
Collusion-Resistant Identity-based Proxy Re-Encryption: Lattice-based Constructions in Standard Model
Priyanka Dutta, Willy Susilo, Dung Hoang Duong +1
The concept of proxy re-encryption (PRE) dates back to the work of Blaze, Bleumer, and Strauss in 1998. PRE offers delegation of decryption rights, i.e., it securely enables the re…
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
Haocheng Jiang, Hua Shen, Jixin Zhang +2
Federated learning is a distributed training framework vulnerable to Byzantine attacks, particularly when over 50% of clients are malicious or when datasets are highly non-independ…
Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks
Anmin Fu, Fanyu Meng, Huaibing Peng +5
The proposed UniGuard is the first unified online detection framework capable of simultaneously addressing adversarial examples and backdoor attacks. UniGuard builds upon two key i…
Defense Against Multi-target Trojan Attacks
Haripriya Harikumar, Santu Rana, Kien Do +4
Adversarial attacks on deep learning-based models pose a significant threat to the current AI infrastructure. Among them, Trojan attacks are the hardest to defend against. In this…
CCA2-secure Lattice-based Public Key Encryption with Equality Test in Standard Model
Dung Hoang Duong, Partha Sarathi Roy, Willy Susilo +3
With the rapid growth of cloud storage and cloud computing services, many organisations and users choose to store the data on a cloud server for saving costs. However, due to secur…