Demo Data from EDBT 2026 / reviewers in the wild / expert
Annapurna Valiveti
dblp:270/7372
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Integrated circuit design · 62% Electronic design automation · 38% | |
| Network and information security
1 paper |
Hardware security and side channels · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels
side-channel countermeasures |
0.9 | 1 | 2025 | GLiTCH: GLiTCH induced Transitions for Secure Crypto-Hardware · DAC 2025 |
Integrated circuit design
low-power circuit design |
0.9 | 1 | 2025 | GLiTCH: GLiTCH induced Transitions for Secure Crypto-Hardware · DAC 2025 |
Electronic design automation › physical design
gate sizing |
0.3 | 1 | 2025 | GLiTCH: GLiTCH induced Transitions for Secure Crypto-Hardware · DAC 2025 |
Electronic design automation
physical design |
0.3 | 1 | 2025 | GLiTCH: GLiTCH induced Transitions for Secure Crypto-Hardware · DAC 2025 |
Methods — techniques the papers use, named apart from their topics
timing simulation · 1.7geometric programming · 1.7gate sizing-based arrival time control · 1.7functional simulation · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | GLiTCH: GLiTCH induced Transitions for Secure Crypto-HardwareabstractConventionally, glitch reduction is well-studied in digital design to improve power, efficiency, and security. In contrast, this paper combines the addition and removal of glitches to minimize the power side-channel leakage. Glitch Manipulation is achieved through gate sizing-based arrival time control, which is cast as a Geometric Programming formulation. We develop a framework, GLiTCH, for glitch manipulation that is guided by functional and timing simulations. The framework is evaluated on popular cipher designs like AES, CLEFIA, and SM4. Our findings illustrate up to 52.82% improvement in the Guessing Entropy for a 38.74% area overhead on average across the evaluated ciphers. C. Rohin Menon, Jayanth Balasubramanian, E. Akshay Kumar, Annapurna Valiveti, Chester Rebeiro, Janakiraman Viraraghavan |
DAC | 4 |