Wednesday, 05.02.2025, 09:00
Electrical and Computer Engineering Faculty
We are happy to invite you to the Tech.AI Robotics Conference, happening on February 5, 2025. This exciting event will explore the critical crossroads of artificial intelligence and robotics: from smart home systems and autonomous vehicles to a...
[ Full version ]
Wednesday, 05.02.2025, 11:30
Edge computing extends cloud capabilities to the proximity of end-users, offering ultra-low latency, which is essential for real-time applications. Unlike traditional cloud systems that suffer from latency and reliability constraints due to distant datacenters, edge computing employs a distributed model, leveraging local edge datacenters to process and store data.
This talk explores key challenges in edge computing across three domains: workloads, storage, and service a...
[ Full version ]
Monday, 10.02.2025, 15:30
In the age of abundant data, deep learning has emerged as a leading tool for predictive tasks, consistently setting new benchmarks in areas such as computer vision. One such task is 3D Object Detection (3DOD), where the goal is to estimate the locations of objects within a 3D space using inputs like RGB images and LiDAR point clouds. This task is crucial for applications in advanced driver-assistance systems, autonomous vehicles, and robotic navigation. Despite the promise of d...
[ Full version ]
Tuesday, 11.02.2025, 11:00
Labeling schemes are a prevalent paradigm in various computing settings. In such schemes, an oracle is given an input graph and produces a label for each of its nodes, enabling the labels to be used for various tasks. In this talk, I will address the question of what happens in a labeling scheme if some labels are erased, e.g., due to communication loss with the oracle or hardware errors. I will present a new resilient labeling scheme which improves upon the state of the art in...
[ Full version ]
Marwa Mouallem (Technion)
Wednesday, 12.02.2025, 11:30
A myriad of authentication mechanisms embody a continuous evolution from verbal passwords in ancient times to contemporary multi-factor authentication: Cryptocurrency wallets advanced from a single signing key to using a handful of well-kept credentials, and for online services, the infamous “security questions” were all but abandoned. Nevertheless, digital asset heists and numerous identity theft cases illustrate the urgent need to revisit the fundamentals of user ...
[ Full version ]
Wednesday, 12.02.2025, 11:30
Meyer 1061 (ECE building) &
Zoom
A myriad of authentication mechanisms embody a continuous evolution from verbal passwords in ancient times to contemporary multi-factor authentication: Cryptocurrency wallets advanced from a single signing key to using a handful of well-kept credentials, and for online services, the infamous “security questions” were all but abandoned. Nevertheless, digital asset heists and numerous identity theft cases illustrate the urgent need to revisit the fundamentals of user ...
[ Full version ]
Wednesday, 12.02.2025, 11:30
In the field of video compression, the pursuit for better quality at lower bit rates remains a long-lasting goal. Recent developments have demonstrated the potential of Implicit Neural Representation (INR) as a promising alternative to traditional transform-based methodologies. Video INRs can be roughly divided into frame-wise and pixel-wise methods according to the structure the network outputs. While the pixel-based methods are better for upsampling and parallelization, frame...
[ Full version ]
Wednesday, 12.02.2025, 14:00
Adversarial training aims to defend against adversaries - malicious opponents aiming to harm predictive performance in any way possible. This strict perspective can result in overly conservative training. As an alternative, we propose modeling opponents as pursuing their own goals rather than working directly against the classifier. Employing tools from strategic modeling, our approach incorporates knowledge of the opponent's potential incentives as inductive bias for learning....
[ Full version ]
Wednesday, 29.01.2025, 17:00
We study budgeted variants of the well known Matching, Matroid Independent Set, and Matroid Intersection problems. While the three problems admit polynomial-time approximation schemes (PTAS) [Berger et al. (Math. Programming, 2011), Chekuri, Vondrak and Zenklusen (SODA 2011)], it has been an intriguing open question whether these problems admit a Fully PTAS (FPTAS), or even an Efficient PTAS (EPTAS). In this work, we show that the three problems admit an EPTAS. On the ...
[ Full version ]
Or Zamir (Tel-Aviv University)
Wednesday, 29.01.2025, 13:00
Estimating the second frequency moment of a stream up to (1 ± ε) multiplicative error requires at most O(log n / ε²) bits of space, due to a seminal result of Alon, Matias, and Szegedy. It is also known that at least Ω(log n + 1/ε²) space is needed.
We prove a tight lower bound of Ω(log(nε²) / ε²) for all ε = Ω(1/√n).
Notably, when ε > n^(-1/2 + c), wher...
[ Full version ]
Wednesday, 29.01.2025, 12:30
The Faculty of Computer Science invites you to a dedicated event for graduate students of StarkWare, a leader in blockchain technologies - "Engineering the Future of Blockchain"
This coming Wednesday, January 29, 25, at 12:30, in the Piano Auditorium (note the change in the lecture location).
What's on the program:12:30 How StarkWare is leading the blockchain revolution with innovative solutions13:30 Applying algorithms ...
[ Full version ]
Wednesday, 29.01.2025, 11:30
Over the past decade, an increasing number of systems and devices have gained Internet connectivity and been enhanced with sensing capabilities and AI. While these advancements have created a world of smarter, more automated, and highly connected devices, they have also introduced significant security and privacy challenges that cannot be effectively addressed with traditional countermeasures.
In the first part of this talk, we will explore the security and privac...
[ Full version ]
Wednesday, 29.01.2025, 11:00
Over the past decade, several studies have shown that DNA-based storage systems can potentially become the standard for data archival due to their high data density and durability. However, the current bottleneck involves the synthesis and sequencing costs, along with a lack of coding solutions to address the unique error characteristics of DNA-based systems.
This work tackles multiple challenges that hinder the practical implementation of DNA storage. First, we explore...
[ Full version ]
Oded Stein (USC’s Viterbi School of Engineering)
Wednesday, 29.01.2025, 10:30
Geometric data and signal processing have made remarkable progress in recent years, and the advent of modern AI tools promises an even brighter future. Many classical and contemporary methods, however, use vast amounts of data, substantial processing power, and considerable natural resources to achieve their results. These approaches can be expensive, environmentally harmful, and ultimately unsustainable. This talk explores efforts to do more with less in geometry processing by...
[ Full version ]
Or Patashnik (Tel Aviv University)
Tuesday, 28.01.2025, 10:30
Image generative models are advancing rapidly, producing images of remarkable realism and fidelity. However, existing models often lack precise control over the generated content, limiting their image editing capabilities and the integration of real content into synthesized imagery. In this talk, I will demonstrate how a deep understanding of the inner mechanisms of large-scale pretrained generative models enables the design of powerful techniques for a variety of image manipul...
[ Full version ]
Monday, 27.01.2025, 15:30
In a recent work, Cormode, Dall'Agnol, Gur and Hickey (CCC, 2024) introduced the model of Zero-Knowledge Streaming Interactive Proofs (zkSIPs). Loosely speaking, such proof-systems enable a prover to convince a streaming verifier that the input x, to which it has read-once streaming access, satisfies some property, in such a way that nothing beyond the correctness of the claim is revealed. Cormode et al. also gave constructions of zkSIPs to some specifi...
[ Full version ]
Wednesday, 22.01.2025, 17:00
The AI revolution is expanding from the cloud directly to our personal computers, and you are invited to join a 3-hour hands-on workshop where you can experience the latest advances and capabilities.
During the workshop, you will delve into the new technologies of Intel’s AI-PCs, build chatbots, produce photos and videos, and discover how to create music on your laptop.
The workshop is intended for anyone interested in expanding their knowledge in th...
[ Full version ]
Wednesday, 22.01.2025, 13:00
How can we trust the correctness of a learned model on a particular input of interest? Model accuracy is typically measured on average over a distribution of inputs, giving no guarantee for any specific input. This talk introduces Self-Proving models, a new class of models that formally prove the correctness of their outputs via an Interactive Proof system. We will formally define Self-Proving models and their per-input (worst-case) guarantees. We will then present algorithms f...
[ Full version ]
Wednesday, 22.01.2025, 11:00
Digital pathology has emerged as a transformative field, enabling automated imaging and computational analysis of thin tissue biopsy slices or body fluids. These samples are typically stained to enhance contrast in biological structures and reveal their morphology under microscopic magnification. Digitally scanning these stained samples produces gigapixel-scale images, known as whole slide images (WSIs), which pose significant challenges for computational analysis using deep le...
[ Full version ]
Ofir Press (Princeton University)
Wednesday, 22.01.2025, 10:30
Language models (LMs) are increasingly used to assist users in day to day tasks such as programming (Github Copilot) or search (Google's AI Overviews). But can we build language model systems that are able to autonomously complete entire tasks end-to-end? In this talk I'll discuss our efforts to build autonomous LM systems, focusing on the software engineering domain. I'll present SWE-bench, our novel method for measuring the performance of automatic programming systems on thei...
[ Full version ]
Tuesday, 21.01.2025, 17:30
Continuing the career workshop marathon!
After you have become familiar with the types of jobs available, it is time to upgrade your resume.
We invite you to the My First Resume Workshop - How to Turn a Blank Page into an Opportunity, hosted by Bar Yaakovi, a graduate of the FacultyTuesday, 21.1, starting at 5:30 PM at Taub 337
About the speaker:Bar Yaakovi holds a bachelor's degree in computer science from the T...
[ Full version ]
Or Patashnik (Tel Aviv University)
Tuesday, 21.01.2025, 11:30
Room 1061 Meyer Building &
Zoom
Image generative models are advancing rapidly, producing images of remarkable realism and fidelity. However, existing models often lack precise control over the generated content, limiting their image editing capabilities and the integration of real content into synthesized imagery. In this talk, I will demonstrate how a deep understanding of the inner mechanisms of large-scale pretrained generative models enables the design of powerful techniques for a variety of image manipul...
[ Full version ]
Yossi Gandelsman (UC Berkeley)
Tuesday, 21.01.2025, 10:30
In this talk, I present an approach for interpreting the internal computation in deep vision models. I show that these interpretations can be used to detect model bugs and to improve the performance of pre-trained deep neural networks (e.g., reducing hallucinations from image captioners and detecting and removing spurious correlations in CLIP) without any additional training. Moreover, the obtained understanding of deep representations can unlock new model capabilities (e.g., n...
[ Full version ]
Thursday, 16.01.2025, 12:00
When learning is used to inform decisions about humans, such as for loans, hiring, or admissions, this can incentivize users to strategically modify their features to obtain positive predictions. A key assumption is that modifications are costly, and are governed by a cost function that is exogenous and predetermined. We challenge this assumption, and assert that the deployment of a classifier is what creates costs. Our idea is simple: when users seek positive predictions,...
[ Full version ]
Wednesday, 15.01.2025, 13:00
Constraint satisfaction problems (CSPs in short) are among the most important computational problems studied in TCS. This talk will focus on a recent line of study addressing the complexity of approximating satisfiable instances of CSPs, and connections of this study to multi-player parallel repetition theorems, property testing and extremal combinatorics.
Based mostly on joint works with Amey Bhangale, Subhash Khot and Yang P. Liu....
[ Full version ]
Wednesday, 15.01.2025, 12:30
Deduplication is widely utilized in many modern large scale storage systems and provide an effective solution for both secondary and primary storage. Therefore, there is a rising need for deduplication storage to support advanced features such as data indexing for information retrieval. To our knowledge, no indexing solution for deduplicated storage utilizes the deduplication and current indexing methods process duplicates.
In this work, we propose IDEA, Inverted Dedupl...
[ Full version ]
Wednesday, 15.01.2025, 12:30
Final Company is coming to the faculty for a spotlight day and technology lectureNext Wednesday, January 15 starting at 12:30 at Taub
Looking for your next step? Want to hear about algo-trading, options and probabilities?Final Company is coming with recruitment teams and engineers who will tell you everything – from career to technology.
What awaits you?• 12:30 | Taub Lobby – Meeting with researchers...
[ Full version ]
Tuesday, 14.01.2025, 11:30
Tuesday, January 14, 2025 at 11:30Meyer Building Room 1061 & Zoom
This talk will explore advances in 3D scene reconstruction, focusing...
[ Full version ]
Noam Mazor (Tel Aviv University)
Tuesday, 14.01.2025, 10:30
Computational analogs of information-theoretic notions have given rise to some of the most intriguing phenomena in theoretical computer science. For example, pseudorandomness allows us to bypass Shannon's lower bounds on the key length of encryption schemes. Moreover, computational analogs of entropy and randomness are key tools in the construction of pseudorandom generators and have become foundational concepts in complexity theory and cryptography.One such computational a...
[ Full version ]
Monday, 13.01.2025, 17:30
It's time to take your career a step further!
A career marathon is underway, and you are invited to our first meeting - an exposure workshop for jobs in the industry - taking stock at Buzz Words -Monday, 13.1, at 17:30 in the Piano Auditorium
Want to understand what's behind the coveted titles in the industry?In this workshop, we will take stock of the variety of job types, dive into innovative technologies and products,...
[ Full version ]
Wednesday, 08.01.2025, 18:30
You are invited to the evening of "Research on the Bar" - three faculty members giving TED talks at eye level.
Don't miss the opportunity to get to know the researchers and new research groups, in an open atmosphere with beers and snacks.
Wednesday, January 8, 2025 starting at 6:30 PM at Taub 2.
Dr. Brit Youngmann - Put your trust in the data (and not in the person who processed it)
Dr. Or Litany - ...
[ Full version ]
Wednesday, 08.01.2025, 13:00
The Huge Object model is a distribution testing model in which we are given access to independent samples from an unknown distribution over the set of strings {0,1}^n, but are only allowed to query a few bits from the samples. We investigate the problem of testing whether a distribution is supported on m elements in this model. It turns out that the behavior of this property is surprisingly intricate, especially when also considering the question of adaptivity. We prove lower a...
[ Full version ]
Wednesday, 08.01.2025, 12:30
Graduate launge, 2nd floor
Join us for our Internship Spotlight Day, where we’ll introduce the TII AI/IR Research Center recently established in Haifa, discuss our work in Generative AI and share details about our 2025 Internship Program.
Date: Wednesday, January 8 Time: 12:30–14:15 Agenda: 12:30-13:00: Get-together 13:00-13:50 : Introduction &a...
[ Full version ]
Tuesday, 07.01.2025, 18:30
Come be part of the Technion's Capture The Flag-CTF group!
And this week: a guest lecture on the topic of artificial intelligence security! Building and Breaking AI Security, hosted by Amit Levy and Rom Himmelstein – AI security researchers at the Technion
“The Model They Told You Not to Worry About” How weaknesses in language models can cause systems to crash and even expose personal information?
Don't have previous experience with lan...
[ Full version ]
Tuesday, 07.01.2025, 10:30
Developing better Language Models would benefit a myriad of communities. However, it is prohibitively costly. The talk would describe collaborative approaches to pretraining such as model merging, allowing combining several specialized models into one. Then introduce efficient evaluation to reduce overheads and touch on other accessible and collaborative aspects that best harness the expertise and diversity ...
[ Full version ]
Monday, 06.01.2025, 13:00
Classical shape descriptors such as Heat Kernel Signature (HKS), Wave Kernel Signature (WKS), and Signature of Histograms of Orientations (SHOT), while widely used in shape analysis, exhibit sensitivity to mesh connectivity, sampling patterns, and topological noise.
While differential geometry offers a promising alternative through its theory of differential invariants, which are theoretically guaranteed to be robust shape descriptors, the computation of these invariant...
[ Full version ]
Yanai Elazar (The University of Washington)
Monday, 06.01.2025, 10:30
Generative models, such as ChatGPT and DALL-E, are used by millions of people daily for tasks ranging from programming and content creation to resume filtering. These models often create the impression of being “intelligent,” which can incentivize careless use in critical applications. While generative models are empowering, they appear to be black boxes, and their misuse can result in harmful or unlawful outcomes.
In this talk, I will present algorithms and...
[ Full version ]
Wednesday, 01.01.2025, 16:30
Artificial intelligence (AI) offers immense potential to accelerate scientific discoveries crucial for combating climate change. However, this powerful tool comes with a significant environmental cost due to its substantial energy consumption and carbon emissions. This talk explores the research challenge of harnessing AI's capabilities while minimizing its ecological footprint. Bio: Dr. Tamar Eilam is an IBM Fellow and Chief Scientist for Sustaina...
[ Full version ]
Wednesday, 01.01.2025, 11:30
We explore the framework of contract design through a computational perspective. Contract design is a fundamental pillar of microeconomics, addressing the essential question of how to incentivize people to work. The significance of contract design was acknowledged by the Nobel Prize awarded to Hart and Holmström, and it applies to various real-life scenarios, such as determining bonuses for employees, setting commission structures for sales representatives, and designing p...
[ Full version ]
