Demo Data from EDBT 2026 / reviewers in the wild / expert
Haochen Gong
dblp:366/7250
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2025
0009-0008-2508-5684ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 since 2021Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
3 papers |
Hardware security and side channels · 43% Privacy and data protection · 32% Systems and software security · 25% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Memory systems · 43% Processor architecture and microarchitecture · 43% Embedded and real-time systems · 15% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
operating system security |
0.9 | 1 | 2025 | Harness: Transparent and Lightweight Protection of Vehicle Control on Untrusted Android Automotive Operating System · USENIX Security Symposium 2025 |
Privacy and data protection › privacy policy
privacy notice |
0.9 | 1 | 2025 | Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator · ASE 2025 |
Hardware security and side channels › side-channel attack
cache side-channel attacks |
0.8 | 1 | 2024 | RECAST: Mitigating Conflict-Based Cache Attacks Through Fine-Grained Dynamic Mapping · IEEE Trans. Inf. Forensics Secur. 2024 |
Hardware security and side channels › side-channel attack › cache side-channel attacks
conflict-based cache attacks |
0.8 | 1 | 2024 | RECAST: Mitigating Conflict-Based Cache Attacks Through Fine-Grained Dynamic Mapping · IEEE Trans. Inf. Forensics Secur. 2024 |
Memory systems
cache |
0.8 | 1 | 2024 | RECAST: Mitigating Conflict-Based Cache Attacks Through Fine-Grained Dynamic Mapping · IEEE Trans. Inf. Forensics Secur. 2024 |
Processor architecture and microarchitecture › hardware-assisted security
cache side channel defense |
0.8 | 1 | 2024 | RECAST: Mitigating Conflict-Based Cache Attacks Through Fine-Grained Dynamic Mapping · IEEE Trans. Inf. Forensics Secur. 2024 |
Privacy and data protection
mobile privacy |
0.3 | 1 | 2025 | Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator · ASE 2025 |
Embedded and real-time systems
automotive systems |
0.3 | 1 | 2025 | Harness: Transparent and Lightweight Protection of Vehicle Control on Untrusted Android Automotive Operating System · USENIX Security Symposium 2025 |
Methods — techniques the papers use, named apart from their topics
tweakable index randomization · 1.5address-sensitive secret generation · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
Haochen Gong, Zhen Tao 0001, Shidong Pan, Zhenchang Xing, Xiaoyu Sun 0002 |
ASE | 1 |
| 2025 | Harness: Transparent and Lightweight Protection of Vehicle Control on Untrusted Android Automotive Operating System
Haochen Gong, Siyu Hong, Shenyi Yang, Wenbo Shen, Chenyang Yu, Yajin Zhou |
USENIX Security Symposium | 1 |
| 2024 | Bio-inspired multi-hop clustering algorithm for FANET
Siwei Yang, Tingli Li, Tao Hu 0017, Wenjie Deng, Haochen Gong |
Ad Hoc Networks | 6 |
| 2024 | RECAST: Mitigating Conflict-Based Cache Attacks Through Fine-Grained Dynamic MappingabstractConflict-based cache attacks can leak critical information from target programs. Accordingly, randomization-based cache designs have emerged as an efficient and LLC-favorable way to mitigate such attacks. However, later investigations have revealed several problems with these designs. Specifically, we identify limited randomness and coarse-grained protection as key issues of previous designs. To solve these issues, we proposeRecast, a secure cache design with address-sensitive secret generation and tweakable index randomization. Our insight is that cache modules at different levels can work collaboratively to enhance their security. Address-sensitive secret generation in private caches generates a secret value for each address upon cache misses. The shared cache in Recast uses tweakable index randomization, where the cryptographic function uses the secret value from private caches as the input to calculate the cache set index. Therefore, Recast achieves fine-grained dynamic mapping. We implement Recast in the gem5 simulator. We use a micro-benchmark and a benchmark suite to showcase the security of Recast. Our performance evaluations on SPEC 2017 and PARSEC benchmarks show that Recast incurs 2.29% and 2.03% performance overhead. Moreover, Recast with the LRU replacement policy has only 0.51% and 1.04% performance overhead on the two benchmarks. Therefore, Recast provides higher security guarantees with minimal performance overhead. Xingjian Zhang 0005, Haochen Gong, Yajin Zhou |
IEEE Trans. Inf. Forensics Secur. | 2 |