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Rolf Haenni

dblp:41/1008 · DBLP profile ↗
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24ranked-venue papers
13as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 16 · 11 first-authorSecurity and privacy · 6 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 3 · 3 first-authorTheory of computation · 3 · 1 first-author

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.

Theoretical computer science
1 paper
Logic in computer science · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science › algebraic logic › boolean algebra
boolean function representation
0.112006
Propositional DAGs: A New Graph-Based Language for Representing Boolean Functions · KR 2006
Knowledge, reasoning and agents › Knowledge representation and reasoning › diagnosis
model-based diagnosis
0.011998
Model-Based Diagnostics and Probabilistic Assumption-Based Reasoning · Artif. Intell. 1998
Knowledge, reasoning and agents › Knowledge representation and reasoning
probabilistic reasoning
0.011998
Model-Based Diagnostics and Probabilistic Assumption-Based Reasoning · Artif. Intell. 1998

Methods — techniques the papers use, named apart from their topics

probabilistic reasoning · 0.0assumption-based reasoning · 0.0
YearPublicationVenuePosition
2026 Implementing and Evaluating the Usability of Reliable Voter Complaints in E2E Verifiable Remote Electronic Voting
Tobias Hilt, Christian Mack, Philipp Matheis, Benjamin Berens, Tobias Länge, Rolf Haenni, Reto E. Koenig, Philipp Locher, Melanie Volkamer
EuroS&P6
2015 Efficiency Evaluation of Cryptographic Protocols for Boardroom Voting
abstract
Efficiency is the bottleneck of many cryptographic protocols towards their practical application in different contexts. This holds true also in the context of electronic voting, where cryptographic protocols are used to ensure a diversity of security requirements, e.g. Secrecy and integrity of cast votes. A new and promising application area of electronic voting is boardroom voting, which in practice takes place very frequently and often on simple issues such as approving or refusing a budget. Hence, it is not a surprise that a number of cryptographic protocols for boardroom voting have been already proposed. In this work, we introduce a security model adequate for the boardroom voting context. Further, we evaluate the efficiency of four boardroom voting protocols, which to best of our knowledge are the only boardroom voting protocols that satisfy our security model. Finally, we compare the performance of these protocols in different election settings.
Oksana Kulyk, Stephan Neumann, Jurlind Budurushi, Melanie Volkamer, Rolf Haenni, Reto E. Koenig, Philémon von Bergen
ARES5
2013 A generic approach to prevent board flooding attacks in coercion-resistant electronic voting schemes
Rolf Haenni, Reto E. Koenig
Comput. Secur.1
2011 Preventing Board Flooding Attacks in Coercion-Resistant Electronic Voting Schemes
Reto E. Koenig, Rolf Haenni, Stephan Fischli
SEC2
2010 Compiling Possibilistic Networks: Alternative Approaches to Possibilistic Inference
Raouia Ayachi, Nahla Ben Amor, Salem Benferhat, Rolf Haenni
UAI4
2007 Logical Compilation of Bayesian Networks with Discrete Variables
Michael Wachter 0001, Rolf Haenni
ECSQARU2
2006 Uncover Dempster's Rule Where It Is Hidden
abstract
Since its development more than thirty years ago, the Dempster-Shafer theory has grown to a rich and powerful collection of tools and techniques to handle various types of uncertainty. Some of the added extensions seem to be indispensable elements, but a closer analysis reveals them to be hidden applications of Dempster's classical rule of combination. This analysis is the topic of this paper
Rolf Haenni
FUSION1
2006 Propositional DAGs: A New Graph-Based Language for Representing Boolean Functions
Michael Wachter 0001, Rolf Haenni
KR2
2006 Towards a precise semantics for authenticity and trust
abstract
In an a priori anonymous digitized world, notions such as authenticity and trust are of paramount importance. Unfortunately, the exact meaning of such key terms has never been consistently defined, and they are often used in an ambiguous way. In this paper, we introduce a new model for representing these fundamental notions in the context of rating systems in e-business applications as well as for public-key certification. When applied to existing systems, its goal is to shed light on the implicit assumptions actually made by the participants. As an example, we show that for the rating system used in eBay, there are a number of such implicit assumptions on which the drawn conclusions depend. A second example is PGP, where it turns out that the meaning of the (syntactically well-defined) certificates is not entirely clear.
Reto Kohlas, Jacek Jonczy, Rolf Haenni
PST3
2005 Unifying Logical and Probabilistic Reasoning
Rolf Haenni
ECSQARU1
2005 Credential Networks: a General Model for Distributed Trust and Authenticity Management
Jacek Jonczy, Rolf Haenni
PST2
2005 Using probabilistic argumentation for key validation in public-key cryptography
Rolf Haenni
Int. J. Approx. Reason.1
2004 Ordered valuation algebras: a generic framework for approximating inference
Rolf Haenni
Int. J. Approx. Reason.1
2003 Web of Trust: Applying Probabilistic Argumentation to Public-Key Cryptography
Rolf Haenni
ECSQARU1
2003 ABEL: An Interactive Tool for Probabilistic Argumentative Reasoning
Rolf Haenni, Norbert Lehmann
ECSQARU1
2003 Implementing belief function computations
abstract
This article discusses several implementation aspects for Dempster-Shafer belief functions. The main objective is to propose an appropriate representation of mass functions and efficient data structures and algorithms for the two basic operations of combination and marginalization. © 2003 Wiley Periodicals, Inc.
Rolf Haenni, Norbert Lehmann
Int. J. Intell. Syst.1
2003 Probabilistic argumentation systems: a new perspective on the dempster-shafer theory
abstract
The goal of this article is to study the connection between the Dempster-Shafter theory (DST) and probabilistic argumentation systems (PASs). By introducing a general method to translate PASs into corresponding Dempster-Shafter belief potentials, its contribution is twofold. On the one hand, the article proposes PASs as a convenient and powerful modeling language to be put on top of the DST. On the other hand, it shows how to use the DST as an efficient computational tool for numerical computations in PASs. © 2003 Wiley Periodicals, Inc.
Rolf Haenni, Norbert Lehmann
Int. J. Intell. Syst.1
2003 Anytime argumentative and abductive reasoning
Rolf Haenni
Soft Comput.1
2002 Argumentative Reasoning with ABEL
Rolf Haenni
JELIA1
2002 Resource bounded and anytime approximation of belief function computations
Rolf Haenni, Norbert Lehmann
Int. J. Approx. Reason.1
2001 Cost-bounded argumentation
Rolf Haenni
Int. J. Approx. Reason.1
1999 Propositional Information Systems
abstract
Resolution is an often used method for deduction in propositional logic. Here a proper organization of deduction is proposed which avoids redundant computations. It is based on a generic framework of decompositions and local computations as introduced by Shenoy and Shafer. The system contains the two basic operations with information, namely marginalization (or projection) and combination; the latter being an idempotent operation in the present case. The theory permits the conception of an architecture of distributed computing. As an important application assumption-based reasoning is discussed.
Jürg Kohlas, Rolf Haenni, Serafín Moral
J. Log. Comput.2
1998 Model-Based Diagnostics and Probabilistic Assumption-Based Reasoning
Jürg Kohlas, Bernhard Anrig, Rolf Haenni, Paul-André Monney
Artif. Intell.3
1995 Model-Based Diagnostics Using Hints
Jürg Kohlas, Paul-André Monney, Rolf Haenni, Norbert Lehmann
ECSQARU3